kmeans_cluster_genes.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dan Shea  \n",
    "2017.05.27  \n",
    "\n",
    "kmeans clutering of expression for genes from RNA-seq data for _B. rapa_ subsp. _pekinensis_ var. S11  \n",
    "`cuffquant` and `cuffdiff` returned the `gene_exp.diff` file that tells us the expression of the transfrags. We divided the transfrags into different types based on their mapping to gene loci of the _B. rapa_ var. Chiifu-401 reference sequence and additionally created fasta files of the genomic DNA sequences of the transcripts for use in single-strand `blastx` analysis against the Swissprot database. For transfrags that mapped to the correct strand of a gene locus, we can read in the previously generated excel worksheet and obtain the computed differential expression values for `s11_NV` vs. `s11_4V` and perform kmeans clustering on the genes to develop feature sets that correspond to genes that show similar expression changes between the NV and 4V conditions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Let's import some of the packages we will require for this analysis\n",
    "import pandas as pd\n",
    "from sklearn.cluster import KMeans\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Define the input excel file we want to load in as a pandas data frame\n",
    "gene_exp_file = 'gene_exp.diff'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Load the file as pandas data frame\n",
    "gene_exp = pd.read_table(gene_exp_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>test_id</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene</th>\n",
       "      <th>locus</th>\n",
       "      <th>sample_1</th>\n",
       "      <th>sample_2</th>\n",
       "      <th>status</th>\n",
       "      <th>value_1</th>\n",
       "      <th>value_2</th>\n",
       "      <th>log2(fold_change)</th>\n",
       "      <th>test_stat</th>\n",
       "      <th>p_value</th>\n",
       "      <th>q_value</th>\n",
       "      <th>significant</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bra000001</td>\n",
       "      <td>Bra000001</td>\n",
       "      <td>Bra000001</td>\n",
       "      <td>A03:8794510-8797095</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.026202</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-inf</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
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       "      <td>Bra000002</td>\n",
       "      <td>Bra000002</td>\n",
       "      <td>A03:8797898-8800379</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
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       "    <tr>\n",
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       "      <td>Bra000007</td>\n",
       "      <td>Bra000007</td>\n",
       "      <td>Bra000007</td>\n",
       "      <td>A03:8823496-8824207</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.526043</td>\n",
       "      <td>1.645720</td>\n",
       "      <td>1.645470</td>\n",
       "      <td>1.755550</td>\n",
       "      <td>0.02835</td>\n",
       "      <td>0.074204</td>\n",
       "      <td>no</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bra000008</td>\n",
       "      <td>Bra000008</td>\n",
       "      <td>Bra000008</td>\n",
       "      <td>A03:8829307-8830496</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.114528</td>\n",
       "      <td>0.090949</td>\n",
       "      <td>-0.332571</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bra000010</td>\n",
       "      <td>Bra000010</td>\n",
       "      <td>Bra000010</td>\n",
       "      <td>A03:8840534-8842281</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.157205</td>\n",
       "      <td>0.206450</td>\n",
       "      <td>0.393143</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Bra000016</td>\n",
       "      <td>Bra000016</td>\n",
       "      <td>Bra000016</td>\n",
       "      <td>A03:8884292-8886197</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Bra000020</td>\n",
       "      <td>Bra000020</td>\n",
       "      <td>Bra000020</td>\n",
       "      <td>A03:8897927-8898629</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Bra000022</td>\n",
       "      <td>Bra000022</td>\n",
       "      <td>Bra000022</td>\n",
       "      <td>A03:8903597-8904350</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.225523</td>\n",
       "      <td>0.033750</td>\n",
       "      <td>-2.740320</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Bra000033</td>\n",
       "      <td>Bra000033</td>\n",
       "      <td>Bra000033</td>\n",
       "      <td>A03:8941847-8945170</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.711796</td>\n",
       "      <td>0.040692</td>\n",
       "      <td>-4.128640</td>\n",
       "      <td>-2.721520</td>\n",
       "      <td>0.07485</td>\n",
       "      <td>0.159078</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Bra000038</td>\n",
       "      <td>Bra000038</td>\n",
       "      <td>Bra000038</td>\n",
       "      <td>A03:8982374-8984291</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.670964</td>\n",
       "      <td>0.651794</td>\n",
       "      <td>-0.041819</td>\n",
       "      <td>-0.046157</td>\n",
       "      <td>0.95035</td>\n",
       "      <td>0.968829</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Bra000039</td>\n",
       "      <td>Bra000039</td>\n",
       "      <td>Bra000039</td>\n",
       "      <td>A03:8988702-8993265</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.636525</td>\n",
       "      <td>1.103290</td>\n",
       "      <td>0.793517</td>\n",
       "      <td>1.227680</td>\n",
       "      <td>0.08890</td>\n",
       "      <td>0.181324</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Bra000040</td>\n",
       "      <td>Bra000040</td>\n",
       "      <td>Bra000040</td>\n",
       "      <td>A03:8996198-8996481</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Bra000041</td>\n",
       "      <td>Bra000041</td>\n",
       "      <td>Bra000041</td>\n",
       "      <td>A03:8999654-9001563</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Bra000045</td>\n",
       "      <td>Bra000045</td>\n",
       "      <td>Bra000045</td>\n",
       "      <td>A03:9021982-9024777</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Bra000046</td>\n",
       "      <td>Bra000046</td>\n",
       "      <td>Bra000046</td>\n",
       "      <td>A03:9038249-9039385</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.716113</td>\n",
       "      <td>0.136252</td>\n",
       "      <td>-2.393910</td>\n",
       "      <td>-1.800550</td>\n",
       "      <td>0.08225</td>\n",
       "      <td>0.170771</td>\n",
       "      <td>no</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Bra000048</td>\n",
       "      <td>Bra000048</td>\n",
       "      <td>Bra000048</td>\n",
       "      <td>A03:9046052-9049341</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.013255</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-inf</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Bra000049</td>\n",
       "      <td>Bra000049</td>\n",
       "      <td>Bra000049</td>\n",
       "      <td>A03:9051908-9052091</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.026870</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Bra000051</td>\n",
       "      <td>Bra000051</td>\n",
       "      <td>Bra000051</td>\n",
       "      <td>A03:9074360-9074600</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Bra000053</td>\n",
       "      <td>Bra000053</td>\n",
       "      <td>Bra000053</td>\n",
       "      <td>A03:9084940-9087353</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.834820</td>\n",
       "      <td>0.321770</td>\n",
       "      <td>-1.375440</td>\n",
       "      <td>-1.535030</td>\n",
       "      <td>0.04305</td>\n",
       "      <td>0.103321</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bra000059</td>\n",
       "      <td>Bra000059</td>\n",
       "      <td>Bra000059</td>\n",
       "      <td>A03:9127403-9129415</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.051577</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-inf</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Bra000061</td>\n",
       "      <td>Bra000061</td>\n",
       "      <td>Bra000061</td>\n",
       "      <td>A03:9137430-9137883</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Bra000066</td>\n",
       "      <td>Bra000066</td>\n",
       "      <td>Bra000066</td>\n",
       "      <td>A03:9154073-9155366</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.019940</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-inf</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Bra000067</td>\n",
       "      <td>Bra000067</td>\n",
       "      <td>Bra000067</td>\n",
       "      <td>A03:9158872-9160525</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.254440</td>\n",
       "      <td>0.021434</td>\n",
       "      <td>-3.569360</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Bra000068</td>\n",
       "      <td>Bra000068</td>\n",
       "      <td>Bra000068</td>\n",
       "      <td>A03:9161968-9162355</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Bra000072</td>\n",
       "      <td>Bra000072</td>\n",
       "      <td>Bra000072</td>\n",
       "      <td>A03:9172115-9173095</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.048527</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-inf</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Bra000076</td>\n",
       "      <td>Bra000076</td>\n",
       "      <td>Bra000076</td>\n",
       "      <td>A03:9191301-9193171</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Bra000077</td>\n",
       "      <td>Bra000077</td>\n",
       "      <td>Bra000077</td>\n",
       "      <td>A03:9194188-9195410</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.473277</td>\n",
       "      <td>0.134497</td>\n",
       "      <td>-1.815110</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Bra000078</td>\n",
       "      <td>Bra000078</td>\n",
       "      <td>Bra000078</td>\n",
       "      <td>A03:9195874-9196117</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Bra000082</td>\n",
       "      <td>Bra000082</td>\n",
       "      <td>Bra000082</td>\n",
       "      <td>A03:9212455-9213411</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.126330</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-inf</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Bra000083</td>\n",
       "      <td>Bra000083</td>\n",
       "      <td>Bra000083</td>\n",
       "      <td>A03:9214094-9215153</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43414</th>\n",
       "      <td>MSTRG.9972</td>\n",
       "      <td>MSTRG.9972</td>\n",
       "      <td>Bra017303</td>\n",
       "      <td>A04:15561515-15565403</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>39.691900</td>\n",
       "      <td>59.129900</td>\n",
       "      <td>0.575044</td>\n",
       "      <td>0.827568</td>\n",
       "      <td>0.25535</td>\n",
       "      <td>0.390796</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43415</th>\n",
       "      <td>MSTRG.9973</td>\n",
       "      <td>MSTRG.9973</td>\n",
       "      <td>Bra017301</td>\n",
       "      <td>A04:15587163-15591089</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>17.981800</td>\n",
       "      <td>94.823900</td>\n",
       "      <td>2.398720</td>\n",
       "      <td>8.184570</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.000337</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43416</th>\n",
       "      <td>MSTRG.9974</td>\n",
       "      <td>MSTRG.9974</td>\n",
       "      <td>Bra017298</td>\n",
       "      <td>A04:15599591-15600305</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>23.024500</td>\n",
       "      <td>12.982300</td>\n",
       "      <td>-0.826628</td>\n",
       "      <td>-1.487490</td>\n",
       "      <td>0.01045</td>\n",
       "      <td>0.033292</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43417</th>\n",
       "      <td>MSTRG.9975</td>\n",
       "      <td>MSTRG.9975</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:15605331-15606248</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>81.405500</td>\n",
       "      <td>140.804000</td>\n",
       "      <td>0.790490</td>\n",
       "      <td>2.501670</td>\n",
       "      <td>0.00050</td>\n",
       "      <td>0.002587</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43418</th>\n",
       "      <td>MSTRG.9976</td>\n",
       "      <td>MSTRG.9976</td>\n",
       "      <td>Bra017300</td>\n",
       "      <td>A04:15593971-15596903</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>8.139990</td>\n",
       "      <td>8.801800</td>\n",
       "      <td>0.112771</td>\n",
       "      <td>0.326872</td>\n",
       "      <td>0.64230</td>\n",
       "      <td>0.753013</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43419</th>\n",
       "      <td>MSTRG.9977</td>\n",
       "      <td>MSTRG.9977</td>\n",
       "      <td>Bra017296</td>\n",
       "      <td>A04:15608083-15608816</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>57.294400</td>\n",
       "      <td>34.834800</td>\n",
       "      <td>-0.717865</td>\n",
       "      <td>-2.193510</td>\n",
       "      <td>0.00245</td>\n",
       "      <td>0.010024</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43420</th>\n",
       "      <td>MSTRG.9978</td>\n",
       "      <td>MSTRG.9978</td>\n",
       "      <td>Bra017293</td>\n",
       "      <td>A04:15613760-15615900</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>34.173500</td>\n",
       "      <td>42.617300</td>\n",
       "      <td>0.318562</td>\n",
       "      <td>1.093930</td>\n",
       "      <td>0.11875</td>\n",
       "      <td>0.224857</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43421</th>\n",
       "      <td>MSTRG.9979</td>\n",
       "      <td>MSTRG.9979</td>\n",
       "      <td>Bra017292</td>\n",
       "      <td>A04:15616751-15617800</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>23.352700</td>\n",
       "      <td>16.121400</td>\n",
       "      <td>-0.534613</td>\n",
       "      <td>-1.515160</td>\n",
       "      <td>0.03475</td>\n",
       "      <td>0.087175</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43422</th>\n",
       "      <td>MSTRG.998</td>\n",
       "      <td>MSTRG.998</td>\n",
       "      <td>Bra013763</td>\n",
       "      <td>A01:7657709-7658453</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>NOTEST</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.045215</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43423</th>\n",
       "      <td>MSTRG.9980</td>\n",
       "      <td>MSTRG.9980</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:15629765-15631390</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>1.861720</td>\n",
       "      <td>4.254290</td>\n",
       "      <td>1.192280</td>\n",
       "      <td>2.662430</td>\n",
       "      <td>0.00030</td>\n",
       "      <td>0.001660</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43424</th>\n",
       "      <td>MSTRG.9981</td>\n",
       "      <td>MSTRG.9981</td>\n",
       "      <td>Bra017291</td>\n",
       "      <td>A04:15618793-15622417</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>22.790200</td>\n",
       "      <td>41.179000</td>\n",
       "      <td>0.853495</td>\n",
       "      <td>3.039440</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.000337</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43425</th>\n",
       "      <td>MSTRG.9982</td>\n",
       "      <td>MSTRG.9982</td>\n",
       "      <td>Bra017290</td>\n",
       "      <td>A04:15622656-15623851</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>52.697000</td>\n",
       "      <td>40.125300</td>\n",
       "      <td>-0.393211</td>\n",
       "      <td>-1.292180</td>\n",
       "      <td>0.06700</td>\n",
       "      <td>0.146046</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43426</th>\n",
       "      <td>MSTRG.9983</td>\n",
       "      <td>MSTRG.9983</td>\n",
       "      <td>Bra017287</td>\n",
       "      <td>A04:15635753-15638084</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>2.884630</td>\n",
       "      <td>0.133471</td>\n",
       "      <td>-4.433780</td>\n",
       "      <td>-3.657080</td>\n",
       "      <td>0.00315</td>\n",
       "      <td>0.012430</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43427</th>\n",
       "      <td>MSTRG.9984</td>\n",
       "      <td>MSTRG.9984</td>\n",
       "      <td>Bra017285</td>\n",
       "      <td>A04:15646018-15648185</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.915103</td>\n",
       "      <td>1.598440</td>\n",
       "      <td>0.804657</td>\n",
       "      <td>1.325220</td>\n",
       "      <td>0.06460</td>\n",
       "      <td>0.141756</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43428</th>\n",
       "      <td>MSTRG.9985</td>\n",
       "      <td>MSTRG.9985</td>\n",
       "      <td>Bra017282</td>\n",
       "      <td>A04:15660243-15661040</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>5.478460</td>\n",
       "      <td>6.230010</td>\n",
       "      <td>0.185463</td>\n",
       "      <td>0.359341</td>\n",
       "      <td>0.60675</td>\n",
       "      <td>0.724215</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43429</th>\n",
       "      <td>MSTRG.9986</td>\n",
       "      <td>MSTRG.9986</td>\n",
       "      <td>Bra017280</td>\n",
       "      <td>A04:15669369-15671611</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>4.108290</td>\n",
       "      <td>1.242650</td>\n",
       "      <td>-1.725110</td>\n",
       "      <td>-2.323320</td>\n",
       "      <td>0.00330</td>\n",
       "      <td>0.012937</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43430</th>\n",
       "      <td>MSTRG.9987</td>\n",
       "      <td>MSTRG.9987</td>\n",
       "      <td>Bra017279</td>\n",
       "      <td>A04:15682143-15685387</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>45.902400</td>\n",
       "      <td>69.034700</td>\n",
       "      <td>0.588753</td>\n",
       "      <td>2.122040</td>\n",
       "      <td>0.00220</td>\n",
       "      <td>0.009168</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43431</th>\n",
       "      <td>MSTRG.9988</td>\n",
       "      <td>MSTRG.9988</td>\n",
       "      <td>Bra017278</td>\n",
       "      <td>A04:15688936-15690175</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>80.582100</td>\n",
       "      <td>94.654800</td>\n",
       "      <td>0.232216</td>\n",
       "      <td>0.834264</td>\n",
       "      <td>0.23150</td>\n",
       "      <td>0.367757</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43432</th>\n",
       "      <td>MSTRG.9989</td>\n",
       "      <td>MSTRG.9989</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:15700996-15701891</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>2.889610</td>\n",
       "      <td>3.962940</td>\n",
       "      <td>0.455699</td>\n",
       "      <td>0.894193</td>\n",
       "      <td>0.19335</td>\n",
       "      <td>0.322300</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43433</th>\n",
       "      <td>MSTRG.999</td>\n",
       "      <td>MSTRG.999</td>\n",
       "      <td>Bra013772</td>\n",
       "      <td>A01:7717880-7719395</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>14.935900</td>\n",
       "      <td>8.879060</td>\n",
       "      <td>-0.750308</td>\n",
       "      <td>-2.030710</td>\n",
       "      <td>0.00410</td>\n",
       "      <td>0.015467</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43434</th>\n",
       "      <td>MSTRG.9990</td>\n",
       "      <td>MSTRG.9990</td>\n",
       "      <td>Bra017276</td>\n",
       "      <td>A04:15719689-15720316</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>325.539000</td>\n",
       "      <td>206.611000</td>\n",
       "      <td>-0.655914</td>\n",
       "      <td>-2.355700</td>\n",
       "      <td>0.00130</td>\n",
       "      <td>0.005850</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43435</th>\n",
       "      <td>MSTRG.9991</td>\n",
       "      <td>MSTRG.9991</td>\n",
       "      <td>Bra017272</td>\n",
       "      <td>A04:15740519-15741203</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>20.492500</td>\n",
       "      <td>1.732270</td>\n",
       "      <td>-3.564360</td>\n",
       "      <td>-6.242260</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.000337</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43436</th>\n",
       "      <td>MSTRG.9992</td>\n",
       "      <td>MSTRG.9992</td>\n",
       "      <td>Bra017277</td>\n",
       "      <td>A04:15693965-15697650</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>108.769000</td>\n",
       "      <td>124.361000</td>\n",
       "      <td>0.193269</td>\n",
       "      <td>0.673221</td>\n",
       "      <td>0.34140</td>\n",
       "      <td>0.483902</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43437</th>\n",
       "      <td>MSTRG.9993</td>\n",
       "      <td>MSTRG.9993</td>\n",
       "      <td>Bra017269</td>\n",
       "      <td>A04:15753673-15755644</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>7.181430</td>\n",
       "      <td>6.303430</td>\n",
       "      <td>-0.188134</td>\n",
       "      <td>-0.527477</td>\n",
       "      <td>0.45290</td>\n",
       "      <td>0.591965</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43438</th>\n",
       "      <td>MSTRG.9994</td>\n",
       "      <td>MSTRG.9994</td>\n",
       "      <td>Bra017268</td>\n",
       "      <td>A04:15755964-15759538</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.896465</td>\n",
       "      <td>2.915820</td>\n",
       "      <td>1.701580</td>\n",
       "      <td>3.215350</td>\n",
       "      <td>0.00010</td>\n",
       "      <td>0.000633</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43439</th>\n",
       "      <td>MSTRG.9995</td>\n",
       "      <td>MSTRG.9995</td>\n",
       "      <td>Bra017263</td>\n",
       "      <td>A04:15785847-15786144</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.861630</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-inf</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.02135</td>\n",
       "      <td>0.059347</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43440</th>\n",
       "      <td>MSTRG.9996</td>\n",
       "      <td>MSTRG.9996</td>\n",
       "      <td>Bra017262</td>\n",
       "      <td>A04:15789048-15791703</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>1.358230</td>\n",
       "      <td>7.067440</td>\n",
       "      <td>2.379460</td>\n",
       "      <td>3.822720</td>\n",
       "      <td>0.00005</td>\n",
       "      <td>0.000337</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43441</th>\n",
       "      <td>MSTRG.9997</td>\n",
       "      <td>MSTRG.9997</td>\n",
       "      <td>Bra017264</td>\n",
       "      <td>A04:15783204-15785131</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>9.045160</td>\n",
       "      <td>13.673700</td>\n",
       "      <td>0.596184</td>\n",
       "      <td>1.691430</td>\n",
       "      <td>0.01665</td>\n",
       "      <td>0.048532</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43442</th>\n",
       "      <td>MSTRG.9998</td>\n",
       "      <td>MSTRG.9998</td>\n",
       "      <td>Bra017258</td>\n",
       "      <td>A04:15814596-15816829</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>56.459000</td>\n",
       "      <td>66.541800</td>\n",
       "      <td>0.237058</td>\n",
       "      <td>0.754450</td>\n",
       "      <td>0.27425</td>\n",
       "      <td>0.412366</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43443</th>\n",
       "      <td>MSTRG.9999</td>\n",
       "      <td>MSTRG.9999</td>\n",
       "      <td>Bra017257</td>\n",
       "      <td>A04:15818094-15819609</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>2.131850</td>\n",
       "      <td>2.193310</td>\n",
       "      <td>0.041003</td>\n",
       "      <td>0.080317</td>\n",
       "      <td>0.90895</td>\n",
       "      <td>0.942968</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>43444 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          test_id     gene_id       gene                  locus sample_1  \\\n",
       "0       Bra000001   Bra000001  Bra000001    A03:8794510-8797095   s11_NV   \n",
       "1       Bra000002   Bra000002  Bra000002    A03:8797898-8800379   s11_NV   \n",
       "2       Bra000007   Bra000007  Bra000007    A03:8823496-8824207   s11_NV   \n",
       "3       Bra000008   Bra000008  Bra000008    A03:8829307-8830496   s11_NV   \n",
       "4       Bra000010   Bra000010  Bra000010    A03:8840534-8842281   s11_NV   \n",
       "5       Bra000016   Bra000016  Bra000016    A03:8884292-8886197   s11_NV   \n",
       "6       Bra000020   Bra000020  Bra000020    A03:8897927-8898629   s11_NV   \n",
       "7       Bra000022   Bra000022  Bra000022    A03:8903597-8904350   s11_NV   \n",
       "8       Bra000033   Bra000033  Bra000033    A03:8941847-8945170   s11_NV   \n",
       "9       Bra000038   Bra000038  Bra000038    A03:8982374-8984291   s11_NV   \n",
       "10      Bra000039   Bra000039  Bra000039    A03:8988702-8993265   s11_NV   \n",
       "11      Bra000040   Bra000040  Bra000040    A03:8996198-8996481   s11_NV   \n",
       "12      Bra000041   Bra000041  Bra000041    A03:8999654-9001563   s11_NV   \n",
       "13      Bra000045   Bra000045  Bra000045    A03:9021982-9024777   s11_NV   \n",
       "14      Bra000046   Bra000046  Bra000046    A03:9038249-9039385   s11_NV   \n",
       "15      Bra000048   Bra000048  Bra000048    A03:9046052-9049341   s11_NV   \n",
       "16      Bra000049   Bra000049  Bra000049    A03:9051908-9052091   s11_NV   \n",
       "17      Bra000051   Bra000051  Bra000051    A03:9074360-9074600   s11_NV   \n",
       "18      Bra000053   Bra000053  Bra000053    A03:9084940-9087353   s11_NV   \n",
       "19      Bra000059   Bra000059  Bra000059    A03:9127403-9129415   s11_NV   \n",
       "20      Bra000061   Bra000061  Bra000061    A03:9137430-9137883   s11_NV   \n",
       "21      Bra000066   Bra000066  Bra000066    A03:9154073-9155366   s11_NV   \n",
       "22      Bra000067   Bra000067  Bra000067    A03:9158872-9160525   s11_NV   \n",
       "23      Bra000068   Bra000068  Bra000068    A03:9161968-9162355   s11_NV   \n",
       "24      Bra000072   Bra000072  Bra000072    A03:9172115-9173095   s11_NV   \n",
       "25      Bra000076   Bra000076  Bra000076    A03:9191301-9193171   s11_NV   \n",
       "26      Bra000077   Bra000077  Bra000077    A03:9194188-9195410   s11_NV   \n",
       "27      Bra000078   Bra000078  Bra000078    A03:9195874-9196117   s11_NV   \n",
       "28      Bra000082   Bra000082  Bra000082    A03:9212455-9213411   s11_NV   \n",
       "29      Bra000083   Bra000083  Bra000083    A03:9214094-9215153   s11_NV   \n",
       "...           ...         ...        ...                    ...      ...   \n",
       "43414  MSTRG.9972  MSTRG.9972  Bra017303  A04:15561515-15565403   s11_NV   \n",
       "43415  MSTRG.9973  MSTRG.9973  Bra017301  A04:15587163-15591089   s11_NV   \n",
       "43416  MSTRG.9974  MSTRG.9974  Bra017298  A04:15599591-15600305   s11_NV   \n",
       "43417  MSTRG.9975  MSTRG.9975          -  A04:15605331-15606248   s11_NV   \n",
       "43418  MSTRG.9976  MSTRG.9976  Bra017300  A04:15593971-15596903   s11_NV   \n",
       "43419  MSTRG.9977  MSTRG.9977  Bra017296  A04:15608083-15608816   s11_NV   \n",
       "43420  MSTRG.9978  MSTRG.9978  Bra017293  A04:15613760-15615900   s11_NV   \n",
       "43421  MSTRG.9979  MSTRG.9979  Bra017292  A04:15616751-15617800   s11_NV   \n",
       "43422   MSTRG.998   MSTRG.998  Bra013763    A01:7657709-7658453   s11_NV   \n",
       "43423  MSTRG.9980  MSTRG.9980          -  A04:15629765-15631390   s11_NV   \n",
       "43424  MSTRG.9981  MSTRG.9981  Bra017291  A04:15618793-15622417   s11_NV   \n",
       "43425  MSTRG.9982  MSTRG.9982  Bra017290  A04:15622656-15623851   s11_NV   \n",
       "43426  MSTRG.9983  MSTRG.9983  Bra017287  A04:15635753-15638084   s11_NV   \n",
       "43427  MSTRG.9984  MSTRG.9984  Bra017285  A04:15646018-15648185   s11_NV   \n",
       "43428  MSTRG.9985  MSTRG.9985  Bra017282  A04:15660243-15661040   s11_NV   \n",
       "43429  MSTRG.9986  MSTRG.9986  Bra017280  A04:15669369-15671611   s11_NV   \n",
       "43430  MSTRG.9987  MSTRG.9987  Bra017279  A04:15682143-15685387   s11_NV   \n",
       "43431  MSTRG.9988  MSTRG.9988  Bra017278  A04:15688936-15690175   s11_NV   \n",
       "43432  MSTRG.9989  MSTRG.9989          -  A04:15700996-15701891   s11_NV   \n",
       "43433   MSTRG.999   MSTRG.999  Bra013772    A01:7717880-7719395   s11_NV   \n",
       "43434  MSTRG.9990  MSTRG.9990  Bra017276  A04:15719689-15720316   s11_NV   \n",
       "43435  MSTRG.9991  MSTRG.9991  Bra017272  A04:15740519-15741203   s11_NV   \n",
       "43436  MSTRG.9992  MSTRG.9992  Bra017277  A04:15693965-15697650   s11_NV   \n",
       "43437  MSTRG.9993  MSTRG.9993  Bra017269  A04:15753673-15755644   s11_NV   \n",
       "43438  MSTRG.9994  MSTRG.9994  Bra017268  A04:15755964-15759538   s11_NV   \n",
       "43439  MSTRG.9995  MSTRG.9995  Bra017263  A04:15785847-15786144   s11_NV   \n",
       "43440  MSTRG.9996  MSTRG.9996  Bra017262  A04:15789048-15791703   s11_NV   \n",
       "43441  MSTRG.9997  MSTRG.9997  Bra017264  A04:15783204-15785131   s11_NV   \n",
       "43442  MSTRG.9998  MSTRG.9998  Bra017258  A04:15814596-15816829   s11_NV   \n",
       "43443  MSTRG.9999  MSTRG.9999  Bra017257  A04:15818094-15819609   s11_NV   \n",
       "\n",
       "      sample_2  status     value_1     value_2  log2(fold_change)  test_stat  \\\n",
       "0       s11_4V  NOTEST    0.026202    0.000000               -inf   0.000000   \n",
       "1       s11_4V  NOTEST    0.000000    0.000000           0.000000   0.000000   \n",
       "2       s11_4V      OK    0.526043    1.645720           1.645470   1.755550   \n",
       "3       s11_4V  NOTEST    0.114528    0.090949          -0.332571   0.000000   \n",
       "4       s11_4V  NOTEST    0.157205    0.206450           0.393143   0.000000   \n",
       "5       s11_4V  NOTEST    0.000000    0.000000           0.000000   0.000000   \n",
       "6       s11_4V  NOTEST    0.000000    0.000000           0.000000   0.000000   \n",
       "7       s11_4V  NOTEST    0.225523    0.033750          -2.740320   0.000000   \n",
       "8       s11_4V      OK    0.711796    0.040692          -4.128640  -2.721520   \n",
       "9       s11_4V      OK    0.670964    0.651794          -0.041819  -0.046157   \n",
       "10      s11_4V      OK    0.636525    1.103290           0.793517   1.227680   \n",
       "11      s11_4V  NOTEST    0.000000    0.000000           0.000000   0.000000   \n",
       "12      s11_4V  NOTEST    0.000000    0.000000           0.000000   0.000000   \n",
       "13      s11_4V  NOTEST    0.000000    0.000000           0.000000   0.000000   \n",
       "14      s11_4V      OK    0.716113    0.136252          -2.393910  -1.800550   \n",
       "15      s11_4V  NOTEST    0.013255    0.000000               -inf   0.000000   \n",
       "16      s11_4V  NOTEST    0.000000    1.026870                inf   0.000000   \n",
       "17      s11_4V  NOTEST    0.000000    0.000000           0.000000   0.000000   \n",
       "18      s11_4V      OK    0.834820    0.321770          -1.375440  -1.535030   \n",
       "19      s11_4V  NOTEST    0.051577    0.000000               -inf   0.000000   \n",
       "20      s11_4V  NOTEST    0.000000    0.000000           0.000000   0.000000   \n",
       "21      s11_4V  NOTEST    0.019940    0.000000               -inf   0.000000   \n",
       "22      s11_4V  NOTEST    0.254440    0.021434          -3.569360   0.000000   \n",
       "23      s11_4V  NOTEST    0.000000    0.000000           0.000000   0.000000   \n",
       "24      s11_4V  NOTEST    0.048527    0.000000               -inf   0.000000   \n",
       "25      s11_4V  NOTEST    0.000000    0.000000           0.000000   0.000000   \n",
       "26      s11_4V  NOTEST    0.473277    0.134497          -1.815110   0.000000   \n",
       "27      s11_4V  NOTEST    0.000000    0.000000           0.000000   0.000000   \n",
       "28      s11_4V  NOTEST    0.126330    0.000000               -inf   0.000000   \n",
       "29      s11_4V  NOTEST    0.000000    0.000000           0.000000   0.000000   \n",
       "...        ...     ...         ...         ...                ...        ...   \n",
       "43414   s11_4V      OK   39.691900   59.129900           0.575044   0.827568   \n",
       "43415   s11_4V      OK   17.981800   94.823900           2.398720   8.184570   \n",
       "43416   s11_4V      OK   23.024500   12.982300          -0.826628  -1.487490   \n",
       "43417   s11_4V      OK   81.405500  140.804000           0.790490   2.501670   \n",
       "43418   s11_4V      OK    8.139990    8.801800           0.112771   0.326872   \n",
       "43419   s11_4V      OK   57.294400   34.834800          -0.717865  -2.193510   \n",
       "43420   s11_4V      OK   34.173500   42.617300           0.318562   1.093930   \n",
       "43421   s11_4V      OK   23.352700   16.121400          -0.534613  -1.515160   \n",
       "43422   s11_4V  NOTEST    0.000000    0.045215                inf   0.000000   \n",
       "43423   s11_4V      OK    1.861720    4.254290           1.192280   2.662430   \n",
       "43424   s11_4V      OK   22.790200   41.179000           0.853495   3.039440   \n",
       "43425   s11_4V      OK   52.697000   40.125300          -0.393211  -1.292180   \n",
       "43426   s11_4V      OK    2.884630    0.133471          -4.433780  -3.657080   \n",
       "43427   s11_4V      OK    0.915103    1.598440           0.804657   1.325220   \n",
       "43428   s11_4V      OK    5.478460    6.230010           0.185463   0.359341   \n",
       "43429   s11_4V      OK    4.108290    1.242650          -1.725110  -2.323320   \n",
       "43430   s11_4V      OK   45.902400   69.034700           0.588753   2.122040   \n",
       "43431   s11_4V      OK   80.582100   94.654800           0.232216   0.834264   \n",
       "43432   s11_4V      OK    2.889610    3.962940           0.455699   0.894193   \n",
       "43433   s11_4V      OK   14.935900    8.879060          -0.750308  -2.030710   \n",
       "43434   s11_4V      OK  325.539000  206.611000          -0.655914  -2.355700   \n",
       "43435   s11_4V      OK   20.492500    1.732270          -3.564360  -6.242260   \n",
       "43436   s11_4V      OK  108.769000  124.361000           0.193269   0.673221   \n",
       "43437   s11_4V      OK    7.181430    6.303430          -0.188134  -0.527477   \n",
       "43438   s11_4V      OK    0.896465    2.915820           1.701580   3.215350   \n",
       "43439   s11_4V      OK    0.861630    0.000000               -inf        NaN   \n",
       "43440   s11_4V      OK    1.358230    7.067440           2.379460   3.822720   \n",
       "43441   s11_4V      OK    9.045160   13.673700           0.596184   1.691430   \n",
       "43442   s11_4V      OK   56.459000   66.541800           0.237058   0.754450   \n",
       "43443   s11_4V      OK    2.131850    2.193310           0.041003   0.080317   \n",
       "\n",
       "       p_value   q_value significant  \n",
       "0      1.00000  1.000000          no  \n",
       "1      1.00000  1.000000          no  \n",
       "2      0.02835  0.074204          no  \n",
       "3      1.00000  1.000000          no  \n",
       "4      1.00000  1.000000          no  \n",
       "5      1.00000  1.000000          no  \n",
       "6      1.00000  1.000000          no  \n",
       "7      1.00000  1.000000          no  \n",
       "8      0.07485  0.159078          no  \n",
       "9      0.95035  0.968829          no  \n",
       "10     0.08890  0.181324          no  \n",
       "11     1.00000  1.000000          no  \n",
       "12     1.00000  1.000000          no  \n",
       "13     1.00000  1.000000          no  \n",
       "14     0.08225  0.170771          no  \n",
       "15     1.00000  1.000000          no  \n",
       "16     1.00000  1.000000          no  \n",
       "17     1.00000  1.000000          no  \n",
       "18     0.04305  0.103321          no  \n",
       "19     1.00000  1.000000          no  \n",
       "20     1.00000  1.000000          no  \n",
       "21     1.00000  1.000000          no  \n",
       "22     1.00000  1.000000          no  \n",
       "23     1.00000  1.000000          no  \n",
       "24     1.00000  1.000000          no  \n",
       "25     1.00000  1.000000          no  \n",
       "26     1.00000  1.000000          no  \n",
       "27     1.00000  1.000000          no  \n",
       "28     1.00000  1.000000          no  \n",
       "29     1.00000  1.000000          no  \n",
       "...        ...       ...         ...  \n",
       "43414  0.25535  0.390796          no  \n",
       "43415  0.00005  0.000337         yes  \n",
       "43416  0.01045  0.033292         yes  \n",
       "43417  0.00050  0.002587         yes  \n",
       "43418  0.64230  0.753013          no  \n",
       "43419  0.00245  0.010024         yes  \n",
       "43420  0.11875  0.224857          no  \n",
       "43421  0.03475  0.087175          no  \n",
       "43422  1.00000  1.000000          no  \n",
       "43423  0.00030  0.001660         yes  \n",
       "43424  0.00005  0.000337         yes  \n",
       "43425  0.06700  0.146046          no  \n",
       "43426  0.00315  0.012430         yes  \n",
       "43427  0.06460  0.141756          no  \n",
       "43428  0.60675  0.724215          no  \n",
       "43429  0.00330  0.012937         yes  \n",
       "43430  0.00220  0.009168         yes  \n",
       "43431  0.23150  0.367757          no  \n",
       "43432  0.19335  0.322300          no  \n",
       "43433  0.00410  0.015467         yes  \n",
       "43434  0.00130  0.005850         yes  \n",
       "43435  0.00005  0.000337         yes  \n",
       "43436  0.34140  0.483902          no  \n",
       "43437  0.45290  0.591965          no  \n",
       "43438  0.00010  0.000633         yes  \n",
       "43439  0.02135  0.059347          no  \n",
       "43440  0.00005  0.000337         yes  \n",
       "43441  0.01665  0.048532         yes  \n",
       "43442  0.27425  0.412366          no  \n",
       "43443  0.90895  0.942968          no  \n",
       "\n",
       "[43444 rows x 14 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gene_exp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In `gene_exp`, entries where the `gene` column have been mapped to a gene will begin with `Bra`. Additionally, we want to only look at genes that were differentially expressed, so the `significant` column will have a value of `yes`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "genes = gene_exp[gene_exp.gene.str.startswith('Bra')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "DEGs = genes[genes.significant.str.match('yes')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "expressionSet = DEGs[['gene','value_1','value_2']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene</th>\n",
       "      <th>value_1</th>\n",
       "      <th>value_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Bra000119</td>\n",
       "      <td>0.144554</td>\n",
       "      <td>0.868545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Bra000169</td>\n",
       "      <td>0.298483</td>\n",
       "      <td>0.749125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>Bra000313</td>\n",
       "      <td>0.868923</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>Bra000354</td>\n",
       "      <td>1.246620</td>\n",
       "      <td>0.277918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>Bra000423</td>\n",
       "      <td>2.107570</td>\n",
       "      <td>0.430426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>Bra000629</td>\n",
       "      <td>0.502324</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>Bra000800</td>\n",
       "      <td>2.033750</td>\n",
       "      <td>0.398620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>Bra000869</td>\n",
       "      <td>2.520000</td>\n",
       "      <td>1.059770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>Bra000881</td>\n",
       "      <td>0.510987</td>\n",
       "      <td>1.475630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>Bra001043</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.865084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>Bra001245</td>\n",
       "      <td>0.161852</td>\n",
       "      <td>1.090790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>Bra001349</td>\n",
       "      <td>0.154122</td>\n",
       "      <td>0.698094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>Bra001405</td>\n",
       "      <td>2.630920</td>\n",
       "      <td>1.174150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>Bra001453</td>\n",
       "      <td>1.104100</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>Bra001458</td>\n",
       "      <td>1.384650</td>\n",
       "      <td>2.509790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>Bra001507</td>\n",
       "      <td>1.822470</td>\n",
       "      <td>0.870845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>Bra001694</td>\n",
       "      <td>1.688110</td>\n",
       "      <td>0.266569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>Bra001756</td>\n",
       "      <td>2.908640</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>Bra001892</td>\n",
       "      <td>0.844411</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>758</th>\n",
       "      <td>Bra002068</td>\n",
       "      <td>1.003920</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>762</th>\n",
       "      <td>Bra002078</td>\n",
       "      <td>0.458124</td>\n",
       "      <td>1.717740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>770</th>\n",
       "      <td>Bra002095</td>\n",
       "      <td>0.800361</td>\n",
       "      <td>1.406870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>846</th>\n",
       "      <td>Bra002355</td>\n",
       "      <td>0.657612</td>\n",
       "      <td>1.828420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>876</th>\n",
       "      <td>Bra002437</td>\n",
       "      <td>0.905509</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>909</th>\n",
       "      <td>Bra002495</td>\n",
       "      <td>1.045060</td>\n",
       "      <td>0.459959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>Bra002536</td>\n",
       "      <td>1.471100</td>\n",
       "      <td>3.089120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1011</th>\n",
       "      <td>Bra002762</td>\n",
       "      <td>0.368138</td>\n",
       "      <td>2.004070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1078</th>\n",
       "      <td>Bra002937</td>\n",
       "      <td>0.390853</td>\n",
       "      <td>1.316850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1090</th>\n",
       "      <td>Bra002963</td>\n",
       "      <td>0.687842</td>\n",
       "      <td>0.167975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1185</th>\n",
       "      <td>Bra003248</td>\n",
       "      <td>1.259470</td>\n",
       "      <td>0.283330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43367</th>\n",
       "      <td>Bra013761</td>\n",
       "      <td>30.205400</td>\n",
       "      <td>19.708300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43372</th>\n",
       "      <td>Bra021915</td>\n",
       "      <td>112.154000</td>\n",
       "      <td>164.783000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43375</th>\n",
       "      <td>Bra021912</td>\n",
       "      <td>41.417900</td>\n",
       "      <td>120.151000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43377</th>\n",
       "      <td>Bra021914</td>\n",
       "      <td>40.845800</td>\n",
       "      <td>74.862700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43381</th>\n",
       "      <td>Bra021925</td>\n",
       "      <td>1.296930</td>\n",
       "      <td>6.062600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43382</th>\n",
       "      <td>Bra021926</td>\n",
       "      <td>2.975820</td>\n",
       "      <td>4.696620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43383</th>\n",
       "      <td>Bra021927</td>\n",
       "      <td>0.725043</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43384</th>\n",
       "      <td>Bra021928</td>\n",
       "      <td>11.598100</td>\n",
       "      <td>20.453300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43385</th>\n",
       "      <td>Bra021935</td>\n",
       "      <td>13.247000</td>\n",
       "      <td>23.645200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43387</th>\n",
       "      <td>Bra021930</td>\n",
       "      <td>2.498510</td>\n",
       "      <td>1.139550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43388</th>\n",
       "      <td>Bra021936</td>\n",
       "      <td>148.618000</td>\n",
       "      <td>78.661500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43390</th>\n",
       "      <td>Bra021941</td>\n",
       "      <td>7.195050</td>\n",
       "      <td>10.801300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43391</th>\n",
       "      <td>Bra021940</td>\n",
       "      <td>16.177800</td>\n",
       "      <td>6.886800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43395</th>\n",
       "      <td>Bra017331</td>\n",
       "      <td>3.391510</td>\n",
       "      <td>0.788361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43401</th>\n",
       "      <td>Bra017321</td>\n",
       "      <td>26.467300</td>\n",
       "      <td>14.520800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43408</th>\n",
       "      <td>Bra017317</td>\n",
       "      <td>45.674600</td>\n",
       "      <td>67.650500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43410</th>\n",
       "      <td>Bra017306</td>\n",
       "      <td>14.257400</td>\n",
       "      <td>34.634600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43415</th>\n",
       "      <td>Bra017301</td>\n",
       "      <td>17.981800</td>\n",
       "      <td>94.823900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43416</th>\n",
       "      <td>Bra017298</td>\n",
       "      <td>23.024500</td>\n",
       "      <td>12.982300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43419</th>\n",
       "      <td>Bra017296</td>\n",
       "      <td>57.294400</td>\n",
       "      <td>34.834800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43424</th>\n",
       "      <td>Bra017291</td>\n",
       "      <td>22.790200</td>\n",
       "      <td>41.179000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43426</th>\n",
       "      <td>Bra017287</td>\n",
       "      <td>2.884630</td>\n",
       "      <td>0.133471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43429</th>\n",
       "      <td>Bra017280</td>\n",
       "      <td>4.108290</td>\n",
       "      <td>1.242650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43430</th>\n",
       "      <td>Bra017279</td>\n",
       "      <td>45.902400</td>\n",
       "      <td>69.034700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43433</th>\n",
       "      <td>Bra013772</td>\n",
       "      <td>14.935900</td>\n",
       "      <td>8.879060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43434</th>\n",
       "      <td>Bra017276</td>\n",
       "      <td>325.539000</td>\n",
       "      <td>206.611000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43435</th>\n",
       "      <td>Bra017272</td>\n",
       "      <td>20.492500</td>\n",
       "      <td>1.732270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43438</th>\n",
       "      <td>Bra017268</td>\n",
       "      <td>0.896465</td>\n",
       "      <td>2.915820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43440</th>\n",
       "      <td>Bra017262</td>\n",
       "      <td>1.358230</td>\n",
       "      <td>7.067440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43441</th>\n",
       "      <td>Bra017264</td>\n",
       "      <td>9.045160</td>\n",
       "      <td>13.673700</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8795 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            gene     value_1     value_2\n",
       "44     Bra000119    0.144554    0.868545\n",
       "56     Bra000169    0.298483    0.749125\n",
       "113    Bra000313    0.868923    0.000000\n",
       "129    Bra000354    1.246620    0.277918\n",
       "151    Bra000423    2.107570    0.430426\n",
       "220    Bra000629    0.502324    0.000000\n",
       "277    Bra000800    2.033750    0.398620\n",
       "312    Bra000869    2.520000    1.059770\n",
       "314    Bra000881    0.510987    1.475630\n",
       "360    Bra001043    0.000000    0.865084\n",
       "424    Bra001245    0.161852    1.090790\n",
       "466    Bra001349    0.154122    0.698094\n",
       "487    Bra001405    2.630920    1.174150\n",
       "505    Bra001453    1.104100    0.000000\n",
       "507    Bra001458    1.384650    2.509790\n",
       "525    Bra001507    1.822470    0.870845\n",
       "598    Bra001694    1.688110    0.266569\n",
       "620    Bra001756    2.908640    0.000000\n",
       "680    Bra001892    0.844411    0.000000\n",
       "758    Bra002068    1.003920    0.000000\n",
       "762    Bra002078    0.458124    1.717740\n",
       "770    Bra002095    0.800361    1.406870\n",
       "846    Bra002355    0.657612    1.828420\n",
       "876    Bra002437    0.905509    0.000000\n",
       "909    Bra002495    1.045060    0.459959\n",
       "927    Bra002536    1.471100    3.089120\n",
       "1011   Bra002762    0.368138    2.004070\n",
       "1078   Bra002937    0.390853    1.316850\n",
       "1090   Bra002963    0.687842    0.167975\n",
       "1185   Bra003248    1.259470    0.283330\n",
       "...          ...         ...         ...\n",
       "43367  Bra013761   30.205400   19.708300\n",
       "43372  Bra021915  112.154000  164.783000\n",
       "43375  Bra021912   41.417900  120.151000\n",
       "43377  Bra021914   40.845800   74.862700\n",
       "43381  Bra021925    1.296930    6.062600\n",
       "43382  Bra021926    2.975820    4.696620\n",
       "43383  Bra021927    0.725043    0.000000\n",
       "43384  Bra021928   11.598100   20.453300\n",
       "43385  Bra021935   13.247000   23.645200\n",
       "43387  Bra021930    2.498510    1.139550\n",
       "43388  Bra021936  148.618000   78.661500\n",
       "43390  Bra021941    7.195050   10.801300\n",
       "43391  Bra021940   16.177800    6.886800\n",
       "43395  Bra017331    3.391510    0.788361\n",
       "43401  Bra017321   26.467300   14.520800\n",
       "43408  Bra017317   45.674600   67.650500\n",
       "43410  Bra017306   14.257400   34.634600\n",
       "43415  Bra017301   17.981800   94.823900\n",
       "43416  Bra017298   23.024500   12.982300\n",
       "43419  Bra017296   57.294400   34.834800\n",
       "43424  Bra017291   22.790200   41.179000\n",
       "43426  Bra017287    2.884630    0.133471\n",
       "43429  Bra017280    4.108290    1.242650\n",
       "43430  Bra017279   45.902400   69.034700\n",
       "43433  Bra013772   14.935900    8.879060\n",
       "43434  Bra017276  325.539000  206.611000\n",
       "43435  Bra017272   20.492500    1.732270\n",
       "43438  Bra017268    0.896465    2.915820\n",
       "43440  Bra017262    1.358230    7.067440\n",
       "43441  Bra017264    9.045160   13.673700\n",
       "\n",
       "[8795 rows x 3 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "expressionSet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene</th>\n",
       "      <th>value_1</th>\n",
       "      <th>value_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>35408</th>\n",
       "      <td>Bra028599</td>\n",
       "      <td>76.8217</td>\n",
       "      <td>13.8858</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            gene  value_1  value_2\n",
       "35408  Bra028599  76.8217  13.8858"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking if BrFLC2 is there\n",
    "expressionSet[expressionSet.gene.str.match('Bra028599')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "kmeans = KMeans(n_clusters=3).fit(expressionSet[['value_1','value_2']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, ..., 0, 0, 0], dtype=int32)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmeans.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fe6aa2a84e0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vVDE7jSCJZYZkljuJZYZklnskZZ7r7tPLnVT3QWA0zKyzknGycZLEMkMyy53E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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe662865e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(expressionSet.value_1, expressionSet.value_2, marker='.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dshea/anaconda3/lib/python3.6/site-packages/ipykernel/__main__.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "expressionSet['cluster'] = kmeans.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8795, 4)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "expressionSet.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fe662737cf8>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WNP4RuvlyGpp03FKo+iVaeCVoLW7TTgDqX4KiK3c4PhDshpY+jm67CwJlSPEv\n3VhD7iAsCR8IBY0PX6squvV/oH4qhI9Aut7pDnft5LbF4zz28VxSjnLxEUfaiBxjOkhOJoGDRw0l\nHA0Tq40TCgc5aKS7tOKQw/djyOH7sWzeCq4ZcQOphEPlmsaHoVWhtPcumlT2VuIjml+gpQ5Sq9M+\nc9BACc01skjkyGbb6ZsVewPqnnaHecb+D615COnyo70IvGN9f8qzfLx2DQpMX7qYqRd8L9shGeML\nOZkEjj7xcG5++nren/4RI087iiO+vmNH76/PuK3hG38oEiIUCZKMpwiGg9x06u/p3qeEO2b8hv4H\n9m19MJHR7myemoc7okaAABR8F1Ir03bMQwJ7PqGapiohtRxCB7kdzlpD40LxSdCq1tagQ3y8bi1x\nx02ICzasb9d1DYwxjXIyCQCMPH04I08f3uxnVRsbHyBLJVMcM/ZI6mtifDp7CalEisovN/P3nz3K\n76bc2Oo4JDwUuv8T4rMgfCQEuoMmkNAAnNrnIfYOkAIJuzN/NqGqaPVvoe4ZCA6Abn9CCEDoQEh+\n5g0RFXd8f4+pED0Rah6C5GcQ6IYUXtrqOnSE4/YbxDsrVwLKUb37WgIwpoPkbBJIt/HLTaxdtp4D\njhrMuuXrcVKNzTOBgPDha+4s2Y7T+MBVMNx2HaASOsBburFJef6ZqG6B1Coo+B4S7LnzwYkPof45\n3DUBlkHlOShRCB3kJoLtnc3qQOwNJH+cm3R0M0jXfaYj955Tz+CFzxaRUoczDjwo2+EY4xs5nwQW\nvLeIG07+HYFAgK5lxZx08ddxUo1PEaeSDqmkmxQKuuaTjCdR4JAxrf9D1DCtUuxNtP5FiIxA8r/T\n8C1Xq38FdVPdfTQOXX/bzFmctCegt2/UQXIuhIbgDhOtdz/znvDd1TMAnVk4GOTsg4dlOwxjfCdn\nk8CyeSv442X3snrxWupr3OcAFMVxHIKhAKnkjk+8RvIjxGu9OYcUptzzEudev/drCTv1M2DLdbj9\nAAokof5lkCjkn+EmiLp/NB5Q9xRafDMiO/6TaGA/dvl0rtZBwQRIvA/530YiOy8nqlrvPaCW/WUx\njTGdT04+LAZu5+9nFZ9TU1XbUOaklK+dPZKLbvkOgVBj1YOhAL0HlxEMuU0nwWCA3oObaZrZE1U3\n4n5DT+DOoAFQhyY+Brav5Zv+B1/cDt4mJDHT7S9oTqCIQPFPCXSfRKDg3J0+1tib6LoR6PpRONW3\n731djDEzby8QAAAPb0lEQVQ5K2eTwNbN23Z4n1eQR7w+zjN3TuXcn53JseeMbPgslXRYuWA1BcX5\nHDTyAEZ+azg3Pf7j1gWgsWYKQ0j0tLSgTqBxJE8UAr2aOeTAnSaEaxBfsPsQqv8LNxElofZR1Gm6\nNpAxxu9yNgl8/9YLCOeFCOeFOPCY/UnUx1FHmfHYW5yefyHvTnl/p2M2r6tizLgR/Pa5X7T4vICT\nXI+z7lictYfiVO3Ylq+pSqCZJCAFSCRtzp2iH+HO6xOAYF+Qneetl/CBSMm9ED0DQk2mXtLNu40R\n6UJjkhF2nEPIGGNyOAmM+9FpPLHibzz2+b3sd3D/tJE/brNQor7prJiulQszXOag8jTQdUAc6p7A\nqZ+FquJU34pWnkGz6+w0fQ6g9jH3eBx3UrjYG81eSvK+RqDbn6D0SQgOBIJAGAJdcDacilP3YvPH\ndfuTeycR6AVd/4gEijKrmzHGN3K2YxigpGdXAE6/4kReebTltW5D4RBnXn1KZifXJovVpJai9Vug\n9nF27sj1cm346B0fggp0x13EPg4oBHY/oicQiKI9Xobkp+jWP3nTQyeh6uc4KBI9bYfx9RLaH+kx\nNbP6GGN8KWfvBNJNf/iNjPa7653fcdCIoRmetcm3ascdCrpDAggMgYLv4TbFOFD/PFr1nzhb73Jn\nDc0/h4Z/Aine4WExdbbibP0zztY7vOYlbzcJIOFh3pPA2+9mElB1k9cHYIwxmcvpJBCri/HMn6Yw\n7cEZLe4bioQaRgc1tXju51w0+IecU3YpM5582y2MfHXHnWr+G+r/vWOZhLy5/7cnhiTUT4Ka+9FN\n50LtZBrXA6h2h5B6dPMVUPMA1DyMbrpop5ik6HrcZwS2q4f6f7VYT2OMSZezSWDaQzMYV3IJ9//8\nsYz2D4WD9B6087DQVx57k6uH38C6FRvZWrmN2y66m8o1m5DCC9jxj3ACqNvx4NRyCDaZGnr7MwOp\n9bitcV7iUW/qh4bTzadheGnqc7TJCCHJ+yqUvQlShnunEYJQpncxxhjjytkkcM9/PEQy3nznb3Ou\n/dsVFHXbccWvipc/4o5L79lp3/H9ruSeny+E0seBZoZ1NoiDswGkKw2jgIgAUXcaiaKr3DsKKYH8\ncd6QUU/0RHcRGAogMqbZ6R8CwRKkxzOQ/x3IH4+U/D3j+hpjDORwx3AoL0SsLp7RvqV9Sjhh/BgA\nHMdh4czFvPXMu0y572XU2XmUT2GXJOMuvAutTLYw0VkUgoOAmbh3CWGIHAeJuW4z0ba7kZL7EAni\n1DyKbjgWDQ5Eut3tLhATe9Vd2zd60i6vIMG+SNdb0cRiiL2H5o1CWuhgNsaY7XI2CYw+o5xXH3sr\no33PufY0gkH3m/Z/nfsnZv37g93eRXzrko30Hhhn9xNdFkH0FG8EUA3uCCAgPoOGNQRqH0EDZagU\nwtbbgQQ4m9Dq3xEouds9vglVx51wLlDaMORTY++gm3/oTllNBMqmWSIwxmQkZ5NAUUlmY+LDkRDf\n8eYI2rCqkneem73rnQVQOGNCZQsJIACBfu7qXvUv0vjg2PbJ3rZTqJ0IzhYaO4hTu1wDQDWBbprg\nLVSTRIMDkJL70bpn3POqF2P8/WYTiDHGNJWzfQKJWKLlnYAJvxtPMBTknmsf5sL9rtr9zgoSEMIR\ndpEEAt5LwVmE++2/DohA3slQ9BPIOytt/zA469jh6WIpQrr8fBeVmguJBbgJQyG1Et1yvbtOgeR7\nMaYgtH8GNTfGmBy+E9j/iEEt7hOJhjn3p2cwrvsEajbXtrg/gDrKM/f14/s3fYGIgwQE6XITJOZB\noAgCxe7QziYPjEnxLUiwJ05qK9QOBa131xeuewL3j3rAXR2s+ySkmekj3JOU7HRetBopuBhFIPEx\nkv9td/0CY4zJQM4mge3rCu/OP9Y/yPh+V2ScALb71wPdqXg9j2hhigH71/Ozu+7AbYdJeSOBwjQs\nHh88ACm+AQn2RJ1a2HSm2/yjMRqnmQYi30S6/X7XCQB3lTLt8ivYdgfoNiCMdLnZfYCscMIe1cEY\nYyBHk8CXS9fy49G/3O0+Xcu68OCNT7B53Z6vwZtMpFj+qdv88tncQn765zWIeJ29Wg2FV4BTheSf\nikRGpB34iZcAanY+aeIDJNDyIveBwvFQOB51qkAiyPZmIGOM2Qs52Sfwwasfk4zvYvplz9bNNTx/\n7/RWXScQVHoNVCQ6FsgH8twPaidC3T/dRV/SaGyW2wQE7JR/NbNpnlUdNLUWJN8SgDGm1XIyCUyf\n+EaL+zhJp8V9WvLVM0fyxzfuxW3W8ZZ4JOl9069Ha59s2Fdjb0PtA94+AYgcyw5PHDedJhpw6qbh\nbJqAs/XPqCZRrUMrz0Y3nISu/zqa/KLVdTDG+FtONgctn7+yQ64jwQBlvVegm9/G/ePe5OG09FE6\nqdWgjQvZE9of6XYHuu0hkChSuOP8QJpY4K1OVgfxuagUIsE+kFoBxEATaM1EpOuv26+CGdDYO2j9\nNAiPIFBwZlZjMcbsuZxLAo7jUL+1uVW92l4kGsZtAmpm7QCA2n+gBZciwTKIngzb/goaBAJIwXeQ\nQDFS/JPmj02tAAl4p66H5GIIH5SWSEIQbLkPoT1p4hP3ITXqoW4qKkEk//SsxmSM2TM51xy0bUsz\nna7tZORpR/Pmc9vYVH0GSBFIKY0reeGOAIr/HwASKEV6vIyUPIKUvYaEhuz+5JEx7spgUuS2/xdc\n6DYhFXwPAr0h7xtI4WXtV7lMJOanvalD43OzFooxZu/k3J1AtCivw65111X3o47iOA4/e/B/Of78\nMThb/w4199DQRxAaisbeheQCyDseiRyxwzlU480OC5VAMfR40X3+IDTIbQoCpPhnUPyzDqhdBiJj\nvKkqCkAdJN+eUjZmX9PhSUBExgJ/wZ1D+QFVva0tz19btWdj/lsjXh9vGIX04gMzOP78MUjRFWgg\nD+IVSP7ZaHINVP0USMK2v6IFl7oPkwWK3FlCU6vQ8JFI6SM7jfaRQBHkjW5VjKpxSC6CQF8k2L3l\nA/aAhPpDjxcgPgtChyLhA9v0/MaY9tehSUDc+ZDvAU4CVgHvi8gUVV3QVteoq++Y/gBw1yreLhhx\nJ6ATEaTwEii8BACtuoGG+YI0BDV/A1LgxABvxbDEQqibCgXntWl8qvVo5bch9SXgQMnDSOToNr2G\nBPt5K6QZY/ZFHd0nMAJYoqqfq2ocmASc1cIxe+TNZ99uy9MBUNq7G5H8CMFQ469r6PAh5Bc1DvGc\n++o8kolmZh6NfB33CWJwk0Fzzy8I7OZJ4b0Wn+0mAK0BrUNrHmj7axhj9mkd3RzUD0gf3L4KGNmW\nF3jwuqfb8nQEgsLEJX9l05rNOI7Sc4DbpBKJRhjf/0pqvOanYDCABHaeVS6QfxpO9W/SZgb1JpmT\nQnetgdRn7hoD0XYYVRPo7U4oB0BeM6ucGWP8rlN2DIvIFcAVAAMHDuyQaxZ1K6R7/1JWfJKWowRu\nnvxTogV59N2/907H/Prp6/j9+XeSiCe5/v6rGtYk2Elof2/655Q722fZTAKB9u/AlvCBaPHvofYR\nCA9Dulzb7tc0xuxbRHUXY9zb42Iio4H/VNVTvPc3Aajq/+zqmPLycq2oqNij65wUODej/YpKC4nX\nxhl06AB++68b6NG3lHlvL+RPl99HKBTk54/8iK+Ut35aZk2tR6t/684n1OXnO40QMsaYtiYic1S1\nvMX9OjgJhIDPgG8Cq4H3gQtVdf6ujtmbJGCMMX6XaRLo0OYgVU2KyI+A6bhDRB/aXQIwxhjTvjq8\nT0BVXwRe7OjrGmOM2VnOTRthjDEmc5YEjDHGxywJGGOMj1kSMMYYH7MkYIwxPtahzwnsDRHZAKzY\ny8N7ABvbMJx9gR/rDP6stx/rDP6s997UeT9VLWtpp06fBFpDRCoyeVgil/ixzuDPevuxzuDPerdn\nna05yBhjfMySgDHG+FiuJ4H7sx1AFvixzuDPevuxzuDPerdbnXO6T8AYY8zu5fqdgDHGmN3IySQg\nImNFZJGILBGRG7MdT2uIyAAReV1EFojIfBG51isvFZFXRGSx97Mk7ZibvLovEpFT0sqHi8g877O7\nRWTnpdA6EREJishcEXnBe++HOncTkX+IyKcislBERvuk3td5/31/IiJPiUg01+otIg+JyHoR+SSt\nrM3qKCJ5IvK0Vz5LRAZlFJiq5tQLd4rqpcAQIAJ8BAzLdlytqE8f4GhvuwvuegzDgD8AN3rlNwK3\ne9vDvDrnAYO930XQ+2w2MAoQYBpwarbr10LdrweeBF7w3vuhzhOBH3jbEaBbrtcbd9nZZUC+934y\ncEmu1Rs4Djga+CStrM3qCFwN/M3bHg88nVFc2f7FtMMvejQwPe39TcBN2Y6rDev3PHASsAjo45X1\nARY1V1/ctRtGe/t8mlZ+AfD3bNdnN/XsD8wAvpGWBHK9zl29P4bSpDzX67197fFS3OntXwBOzsV6\nA4OaJIE2q+P2fbztEO7DZdJSTLnYHNTcYvb9shRLm/Ju744CZgG9VHWN99FaoJe3vav69/O2m5Z3\nVncBvwCctLJcr/NgYAPwsNcM9oCIFJLj9VbV1cAfgZXAGqBKVV8mx+vtacs6NhyjqkmgCujeUgC5\nmARykogUAf8EfqKq1emfqZv6c2aYl4h8C1ivqnN2tU+u1dkTwm0uuE9VjwJqcJsIGuRivb128LNw\nk2BfoFBELkrfJxfr3VS26piLSWA1MCDtfX+vbJ8lImHcBPCEqj7rFa8TkT7e532A9V75ruq/2ttu\nWt4ZjQHOFJHlwCTgGyLyOLldZ3C/1a1S1Vne+3/gJoVcr/eJwDJV3aCqCeBZ4Kvkfr2hbevYcIy4\n67l3BSpbCiAXk8D7wFARGSwiEdwOkilZjmmveT3/DwILVfXOtI+mABO87Qm4fQXby8d7IwUGA0OB\n2d4tZ7WIjPLOeXHaMZ2Kqt6kqv1VdRDuv99rqnoROVxnAFVdC3whIl/xir4JLCDH643bDDRKRAq8\neL8JLCT36w1tW8f0c30H9/+blu8sst1R0k6dL6fhjqJZCvwq2/G0si5fw71F/Bj40HudhtvWNwNY\nDLwKlKYd8yuv7otIGx0BlAOfeJ/9lQw6jbL9Ao6nsWM45+sMHAlUeP/e/wJKfFLv3wKfejE/hjsq\nJqfqDTyF2+eRwL3ru6wt6whEgWeAJbgjiIZkEpc9MWyMMT6Wi81BxhhjMmRJwBhjfMySgDHG+Jgl\nAWOM8TFLAsYY42OWBIwxxscsCRhjjI9ZEjDGGB/7/+uZRVoUB4xeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe6627c7ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Try plotting, coloring by cluster\n",
    "plt.scatter(expressionSet.value_1, expressionSet.value_2,c=expressionSet.cluster, marker='.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene</th>\n",
       "      <th>value_1</th>\n",
       "      <th>value_2</th>\n",
       "      <th>cluster</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>35408</th>\n",
       "      <td>Bra028599</td>\n",
       "      <td>76.8217</td>\n",
       "      <td>13.8858</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            gene  value_1  value_2  cluster\n",
       "35408  Bra028599  76.8217  13.8858        0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking if BrFLC2 is there\n",
    "expressionSet[expressionSet.gene.str.match('Bra028599')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene</th>\n",
       "      <th>value_1</th>\n",
       "      <th>value_2</th>\n",
       "      <th>cluster</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Bra000119</td>\n",
       "      <td>0.144554</td>\n",
       "      <td>0.868545</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Bra000169</td>\n",
       "      <td>0.298483</td>\n",
       "      <td>0.749125</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>Bra000313</td>\n",
       "      <td>0.868923</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>Bra000354</td>\n",
       "      <td>1.246620</td>\n",
       "      <td>0.277918</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>Bra000423</td>\n",
       "      <td>2.107570</td>\n",
       "      <td>0.430426</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>Bra000629</td>\n",
       "      <td>0.502324</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>Bra000800</td>\n",
       "      <td>2.033750</td>\n",
       "      <td>0.398620</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>Bra000869</td>\n",
       "      <td>2.520000</td>\n",
       "      <td>1.059770</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>Bra000881</td>\n",
       "      <td>0.510987</td>\n",
       "      <td>1.475630</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>Bra001043</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.865084</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>Bra001245</td>\n",
       "      <td>0.161852</td>\n",
       "      <td>1.090790</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>Bra001349</td>\n",
       "      <td>0.154122</td>\n",
       "      <td>0.698094</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>Bra001405</td>\n",
       "      <td>2.630920</td>\n",
       "      <td>1.174150</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>Bra001453</td>\n",
       "      <td>1.104100</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>Bra001458</td>\n",
       "      <td>1.384650</td>\n",
       "      <td>2.509790</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>Bra001507</td>\n",
       "      <td>1.822470</td>\n",
       "      <td>0.870845</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>Bra001694</td>\n",
       "      <td>1.688110</td>\n",
       "      <td>0.266569</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>Bra001756</td>\n",
       "      <td>2.908640</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>Bra001892</td>\n",
       "      <td>0.844411</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>758</th>\n",
       "      <td>Bra002068</td>\n",
       "      <td>1.003920</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>762</th>\n",
       "      <td>Bra002078</td>\n",
       "      <td>0.458124</td>\n",
       "      <td>1.717740</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>770</th>\n",
       "      <td>Bra002095</td>\n",
       "      <td>0.800361</td>\n",
       "      <td>1.406870</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>846</th>\n",
       "      <td>Bra002355</td>\n",
       "      <td>0.657612</td>\n",
       "      <td>1.828420</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>876</th>\n",
       "      <td>Bra002437</td>\n",
       "      <td>0.905509</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>909</th>\n",
       "      <td>Bra002495</td>\n",
       "      <td>1.045060</td>\n",
       "      <td>0.459959</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>Bra002536</td>\n",
       "      <td>1.471100</td>\n",
       "      <td>3.089120</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1011</th>\n",
       "      <td>Bra002762</td>\n",
       "      <td>0.368138</td>\n",
       "      <td>2.004070</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1078</th>\n",
       "      <td>Bra002937</td>\n",
       "      <td>0.390853</td>\n",
       "      <td>1.316850</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1090</th>\n",
       "      <td>Bra002963</td>\n",
       "      <td>0.687842</td>\n",
       "      <td>0.167975</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1185</th>\n",
       "      <td>Bra003248</td>\n",
       "      <td>1.259470</td>\n",
       "      <td>0.283330</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43367</th>\n",
       "      <td>Bra013761</td>\n",
       "      <td>30.205400</td>\n",
       "      <td>19.708300</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43372</th>\n",
       "      <td>Bra021915</td>\n",
       "      <td>112.154000</td>\n",
       "      <td>164.783000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43375</th>\n",
       "      <td>Bra021912</td>\n",
       "      <td>41.417900</td>\n",
       "      <td>120.151000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43377</th>\n",
       "      <td>Bra021914</td>\n",
       "      <td>40.845800</td>\n",
       "      <td>74.862700</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43381</th>\n",
       "      <td>Bra021925</td>\n",
       "      <td>1.296930</td>\n",
       "      <td>6.062600</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43382</th>\n",
       "      <td>Bra021926</td>\n",
       "      <td>2.975820</td>\n",
       "      <td>4.696620</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43383</th>\n",
       "      <td>Bra021927</td>\n",
       "      <td>0.725043</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43384</th>\n",
       "      <td>Bra021928</td>\n",
       "      <td>11.598100</td>\n",
       "      <td>20.453300</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43385</th>\n",
       "      <td>Bra021935</td>\n",
       "      <td>13.247000</td>\n",
       "      <td>23.645200</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43387</th>\n",
       "      <td>Bra021930</td>\n",
       "      <td>2.498510</td>\n",
       "      <td>1.139550</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43388</th>\n",
       "      <td>Bra021936</td>\n",
       "      <td>148.618000</td>\n",
       "      <td>78.661500</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43390</th>\n",
       "      <td>Bra021941</td>\n",
       "      <td>7.195050</td>\n",
       "      <td>10.801300</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43391</th>\n",
       "      <td>Bra021940</td>\n",
       "      <td>16.177800</td>\n",
       "      <td>6.886800</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43395</th>\n",
       "      <td>Bra017331</td>\n",
       "      <td>3.391510</td>\n",
       "      <td>0.788361</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43401</th>\n",
       "      <td>Bra017321</td>\n",
       "      <td>26.467300</td>\n",
       "      <td>14.520800</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43408</th>\n",
       "      <td>Bra017317</td>\n",
       "      <td>45.674600</td>\n",
       "      <td>67.650500</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43410</th>\n",
       "      <td>Bra017306</td>\n",
       "      <td>14.257400</td>\n",
       "      <td>34.634600</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43415</th>\n",
       "      <td>Bra017301</td>\n",
       "      <td>17.981800</td>\n",
       "      <td>94.823900</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43416</th>\n",
       "      <td>Bra017298</td>\n",
       "      <td>23.024500</td>\n",
       "      <td>12.982300</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43419</th>\n",
       "      <td>Bra017296</td>\n",
       "      <td>57.294400</td>\n",
       "      <td>34.834800</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43424</th>\n",
       "      <td>Bra017291</td>\n",
       "      <td>22.790200</td>\n",
       "      <td>41.179000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43426</th>\n",
       "      <td>Bra017287</td>\n",
       "      <td>2.884630</td>\n",
       "      <td>0.133471</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43429</th>\n",
       "      <td>Bra017280</td>\n",
       "      <td>4.108290</td>\n",
       "      <td>1.242650</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43430</th>\n",
       "      <td>Bra017279</td>\n",
       "      <td>45.902400</td>\n",
       "      <td>69.034700</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43433</th>\n",
       "      <td>Bra013772</td>\n",
       "      <td>14.935900</td>\n",
       "      <td>8.879060</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43434</th>\n",
       "      <td>Bra017276</td>\n",
       "      <td>325.539000</td>\n",
       "      <td>206.611000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43435</th>\n",
       "      <td>Bra017272</td>\n",
       "      <td>20.492500</td>\n",
       "      <td>1.732270</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43438</th>\n",
       "      <td>Bra017268</td>\n",
       "      <td>0.896465</td>\n",
       "      <td>2.915820</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43440</th>\n",
       "      <td>Bra017262</td>\n",
       "      <td>1.358230</td>\n",
       "      <td>7.067440</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43441</th>\n",
       "      <td>Bra017264</td>\n",
       "      <td>9.045160</td>\n",
       "      <td>13.673700</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8671 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            gene     value_1     value_2  cluster\n",
       "44     Bra000119    0.144554    0.868545        0\n",
       "56     Bra000169    0.298483    0.749125        0\n",
       "113    Bra000313    0.868923    0.000000        0\n",
       "129    Bra000354    1.246620    0.277918        0\n",
       "151    Bra000423    2.107570    0.430426        0\n",
       "220    Bra000629    0.502324    0.000000        0\n",
       "277    Bra000800    2.033750    0.398620        0\n",
       "312    Bra000869    2.520000    1.059770        0\n",
       "314    Bra000881    0.510987    1.475630        0\n",
       "360    Bra001043    0.000000    0.865084        0\n",
       "424    Bra001245    0.161852    1.090790        0\n",
       "466    Bra001349    0.154122    0.698094        0\n",
       "487    Bra001405    2.630920    1.174150        0\n",
       "505    Bra001453    1.104100    0.000000        0\n",
       "507    Bra001458    1.384650    2.509790        0\n",
       "525    Bra001507    1.822470    0.870845        0\n",
       "598    Bra001694    1.688110    0.266569        0\n",
       "620    Bra001756    2.908640    0.000000        0\n",
       "680    Bra001892    0.844411    0.000000        0\n",
       "758    Bra002068    1.003920    0.000000        0\n",
       "762    Bra002078    0.458124    1.717740        0\n",
       "770    Bra002095    0.800361    1.406870        0\n",
       "846    Bra002355    0.657612    1.828420        0\n",
       "876    Bra002437    0.905509    0.000000        0\n",
       "909    Bra002495    1.045060    0.459959        0\n",
       "927    Bra002536    1.471100    3.089120        0\n",
       "1011   Bra002762    0.368138    2.004070        0\n",
       "1078   Bra002937    0.390853    1.316850        0\n",
       "1090   Bra002963    0.687842    0.167975        0\n",
       "1185   Bra003248    1.259470    0.283330        0\n",
       "...          ...         ...         ...      ...\n",
       "43367  Bra013761   30.205400   19.708300        0\n",
       "43372  Bra021915  112.154000  164.783000        0\n",
       "43375  Bra021912   41.417900  120.151000        0\n",
       "43377  Bra021914   40.845800   74.862700        0\n",
       "43381  Bra021925    1.296930    6.062600        0\n",
       "43382  Bra021926    2.975820    4.696620        0\n",
       "43383  Bra021927    0.725043    0.000000        0\n",
       "43384  Bra021928   11.598100   20.453300        0\n",
       "43385  Bra021935   13.247000   23.645200        0\n",
       "43387  Bra021930    2.498510    1.139550        0\n",
       "43388  Bra021936  148.618000   78.661500        0\n",
       "43390  Bra021941    7.195050   10.801300        0\n",
       "43391  Bra021940   16.177800    6.886800        0\n",
       "43395  Bra017331    3.391510    0.788361        0\n",
       "43401  Bra017321   26.467300   14.520800        0\n",
       "43408  Bra017317   45.674600   67.650500        0\n",
       "43410  Bra017306   14.257400   34.634600        0\n",
       "43415  Bra017301   17.981800   94.823900        0\n",
       "43416  Bra017298   23.024500   12.982300        0\n",
       "43419  Bra017296   57.294400   34.834800        0\n",
       "43424  Bra017291   22.790200   41.179000        0\n",
       "43426  Bra017287    2.884630    0.133471        0\n",
       "43429  Bra017280    4.108290    1.242650        0\n",
       "43430  Bra017279   45.902400   69.034700        0\n",
       "43433  Bra013772   14.935900    8.879060        0\n",
       "43434  Bra017276  325.539000  206.611000        0\n",
       "43435  Bra017272   20.492500    1.732270        0\n",
       "43438  Bra017268    0.896465    2.915820        0\n",
       "43440  Bra017262    1.358230    7.067440        0\n",
       "43441  Bra017264    9.045160   13.673700        0\n",
       "\n",
       "[8671 rows x 4 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "expressionSet[expressionSet.cluster == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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wqimuFEU5A6nga+TzYerVi1sBU1UVpv/8h009e+L//ntC8/OxffMNB3r1wicE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cInpdwshJgyfjx/ysigQ8+eBEJ5bc0pLCSmoABTVZVyYzYnEIBVq4gBJQ7V1Vi/+IKE7duxC4ER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\nLXwajUajaVX8P4XyZRyMtagCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe662706438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Try plotting, coloring by cluster, label points in cluster 1 (0-2, which is 3 clusters)\n",
    "plt.scatter(expressionSet.value_1, expressionSet.value_2,c=expressionSet.cluster, marker='.')\n",
    "for index, gene, x, y, cluster in expressionSet[expressionSet.cluster == 2].itertuples():\n",
    "    plt.annotate(\n",
    "        gene,\n",
    "        xy=(x, y), xytext=(-20, 20),\n",
    "        textcoords='offset points', ha='right', va='bottom',\n",
    "        bbox=dict(boxstyle='round,pad=0.5', fc='yellow', alpha=0.5),\n",
    "        arrowprops=dict(arrowstyle = '->', connectionstyle='arc3,rad=0'))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "kmeans = KMeans(n_clusters=4).fit(expressionSet[['value_1','value_2']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, ..., 0, 0, 0], dtype=int32)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmeans.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dshea/anaconda3/lib/python3.6/site-packages/ipykernel/__main__.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "expressionSet['cluster'] = kmeans.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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HgBZLg7BsFJasYv/+WHbvfp++fdX06+dBdLQdQUEOuLm1zCBgMCjk5VXwxx/xrFrlyuTJ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe6626754e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Try plotting, coloring by cluster, label points in cluster 1 (0-2, which is 3 clusters)\n",
    "plt.scatter(expressionSet.value_1, expressionSet.value_2,c=expressionSet.cluster, marker='.')\n",
    "for index, gene, x, y, cluster in expressionSet[expressionSet.cluster == 2].itertuples():\n",
    "    plt.annotate(\n",
    "        gene,\n",
    "        xy=(x, y), xytext=(-20, 20),\n",
    "        textcoords='offset points', ha='right', va='bottom',\n",
    "        bbox=dict(boxstyle='round,pad=0.5', fc='yellow', alpha=0.5),\n",
    "        arrowprops=dict(arrowstyle = '->', connectionstyle='arc3,rad=0'))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "kmeans = KMeans(n_clusters=5).fit(expressionSet[['value_1','value_2']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, ..., 0, 0, 0], dtype=int32)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmeans.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dshea/anaconda3/lib/python3.6/site-packages/ipykernel/__main__.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "expressionSet['cluster'] = kmeans.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ycgqGDGHj+vWkrV5NUVkZynEomTuXWHk5nYEATc89xyitUbYN06ZhDRtGfnk5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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe6625a40f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Try plotting, coloring by cluster, label points in cluster 1 (0-2, which is 3 clusters)\n",
    "plt.scatter(expressionSet.value_1, expressionSet.value_2,c=expressionSet.cluster, marker='.')\n",
    "for index, gene, x, y, cluster in expressionSet[expressionSet.cluster == 3].itertuples():\n",
    "    plt.annotate(\n",
    "        gene,\n",
    "        xy=(x, y), xytext=(-20, 20),\n",
    "        textcoords='offset points', ha='right', va='bottom',\n",
    "        bbox=dict(boxstyle='round,pad=0.5', fc='yellow', alpha=0.5),\n",
    "        arrowprops=dict(arrowstyle = '->', connectionstyle='arc3,rad=0'))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# To look at the cis-NATs\n",
    "lncrna_file = 'putative_lncrnas.xlsx'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Load the worksheet 'putative NATs' into a pandas dataframe\n",
    "lncrnas = pd.read_excel(lncrna_file, sheetname='putative NATs')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>test_id</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene</th>\n",
       "      <th>locus</th>\n",
       "      <th>sample_1</th>\n",
       "      <th>sample_2</th>\n",
       "      <th>status</th>\n",
       "      <th>value_1</th>\n",
       "      <th>value_2</th>\n",
       "      <th>log2(fold_change)</th>\n",
       "      <th>...</th>\n",
       "      <th>qry_gene_id</th>\n",
       "      <th>qry_id</th>\n",
       "      <th>FMI</th>\n",
       "      <th>FPKM</th>\n",
       "      <th>FPKM_conf_lo</th>\n",
       "      <th>FPKM_conf_hi</th>\n",
       "      <th>cov</th>\n",
       "      <th>len</th>\n",
       "      <th>major_iso_id</th>\n",
       "      <th>ref_match_len</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MSTRG.10013</td>\n",
       "      <td>MSTRG.10013</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:15950831-15952453</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>4.380540</td>\n",
       "      <td>1.756200</td>\n",
       "      <td>-1.318650</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10013</td>\n",
       "      <td>MSTRG.10013.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>346</td>\n",
       "      <td>MSTRG.10013.1</td>\n",
       "      <td>1341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>MSTRG.10058</td>\n",
       "      <td>MSTRG.10058</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:16292280-16293302</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>1.215500</td>\n",
       "      <td>0.877836</td>\n",
       "      <td>-0.469532</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10058</td>\n",
       "      <td>MSTRG.10058.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1022</td>\n",
       "      <td>MSTRG.10058.1</td>\n",
       "      <td>852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>MSTRG.10066</td>\n",
       "      <td>MSTRG.10066</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:16297799-16316386</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.970437</td>\n",
       "      <td>1.200640</td>\n",
       "      <td>0.307091</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10066</td>\n",
       "      <td>MSTRG.10066.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373</td>\n",
       "      <td>MSTRG.10066.1</td>\n",
       "      <td>411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>MSTRG.10130</td>\n",
       "      <td>MSTRG.10130</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:16929633-16930605</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>1.537330</td>\n",
       "      <td>3.086380</td>\n",
       "      <td>1.005490</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10130</td>\n",
       "      <td>MSTRG.10130.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>972</td>\n",
       "      <td>MSTRG.10130.1</td>\n",
       "      <td>675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>MSTRG.10158</td>\n",
       "      <td>MSTRG.10158</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:17103126-17104264</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>3.289680</td>\n",
       "      <td>1.239670</td>\n",
       "      <td>-1.407990</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10158</td>\n",
       "      <td>MSTRG.10158.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1138</td>\n",
       "      <td>MSTRG.10158.1</td>\n",
       "      <td>261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>MSTRG.10223</td>\n",
       "      <td>MSTRG.10223</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:17629220-17630472</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>1.425500</td>\n",
       "      <td>6.273830</td>\n",
       "      <td>2.137880</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10223</td>\n",
       "      <td>MSTRG.10223.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1252</td>\n",
       "      <td>MSTRG.10223.1</td>\n",
       "      <td>807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>MSTRG.10334</td>\n",
       "      <td>MSTRG.10334</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:18507892-18510139</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>3.733960</td>\n",
       "      <td>3.592970</td>\n",
       "      <td>-0.055530</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10334</td>\n",
       "      <td>MSTRG.10334.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1457</td>\n",
       "      <td>MSTRG.10334.1</td>\n",
       "      <td>504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>MSTRG.10334</td>\n",
       "      <td>MSTRG.10334</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:18507892-18510139</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>3.733960</td>\n",
       "      <td>3.592970</td>\n",
       "      <td>-0.055530</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10334</td>\n",
       "      <td>MSTRG.10334.2</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1345</td>\n",
       "      <td>MSTRG.10334.1</td>\n",
       "      <td>504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>MSTRG.10334</td>\n",
       "      <td>MSTRG.10334</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:18507892-18510139</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>3.733960</td>\n",
       "      <td>3.592970</td>\n",
       "      <td>-0.055530</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10334</td>\n",
       "      <td>MSTRG.10334.3</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1074</td>\n",
       "      <td>MSTRG.10334.1</td>\n",
       "      <td>504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>MSTRG.10412</td>\n",
       "      <td>MSTRG.10412</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:18983869-18984551</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.207932</td>\n",
       "      <td>2.112190</td>\n",
       "      <td>3.344550</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10412</td>\n",
       "      <td>MSTRG.10412.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>682</td>\n",
       "      <td>MSTRG.10412.1</td>\n",
       "      <td>480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>MSTRG.10442</td>\n",
       "      <td>MSTRG.10442</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:19253997-19257880</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>2.006550</td>\n",
       "      <td>2.714610</td>\n",
       "      <td>0.436026</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10442</td>\n",
       "      <td>MSTRG.10442.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2351</td>\n",
       "      <td>MSTRG.10442.1</td>\n",
       "      <td>1164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>MSTRG.10467</td>\n",
       "      <td>MSTRG.10467</td>\n",
       "      <td>-</td>\n",
       "      <td>A05:157415-158247</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.884936</td>\n",
       "      <td>6.039600</td>\n",
       "      <td>2.770810</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10467</td>\n",
       "      <td>MSTRG.10467.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>832</td>\n",
       "      <td>MSTRG.10467.1</td>\n",
       "      <td>690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>MSTRG.1049</td>\n",
       "      <td>MSTRG.1049</td>\n",
       "      <td>-</td>\n",
       "      <td>A01:8020833-8024698</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>1.592460</td>\n",
       "      <td>1.926980</td>\n",
       "      <td>0.275083</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.1049</td>\n",
       "      <td>MSTRG.1049.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>959</td>\n",
       "      <td>MSTRG.1049.1</td>\n",
       "      <td>729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>MSTRG.10496</td>\n",
       "      <td>MSTRG.10496</td>\n",
       "      <td>-</td>\n",
       "      <td>A05:362560-365351</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>29.811900</td>\n",
       "      <td>24.784800</td>\n",
       "      <td>-0.266433</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10496</td>\n",
       "      <td>MSTRG.10496.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2167</td>\n",
       "      <td>MSTRG.10496.1</td>\n",
       "      <td>1125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>MSTRG.10496</td>\n",
       "      <td>MSTRG.10496</td>\n",
       "      <td>-</td>\n",
       "      <td>A05:362560-365351</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>29.811900</td>\n",
       "      <td>24.784800</td>\n",
       "      <td>-0.266433</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10496</td>\n",
       "      <td>MSTRG.10496.2</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1880</td>\n",
       "      <td>MSTRG.10496.1</td>\n",
       "      <td>1125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>MSTRG.10594</td>\n",
       "      <td>MSTRG.10594</td>\n",
       "      <td>-</td>\n",
       "      <td>A05:1100648-1101760</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.599026</td>\n",
       "      <td>1.873290</td>\n",
       "      <td>1.644890</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10594</td>\n",
       "      <td>MSTRG.10594.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1112</td>\n",
       "      <td>MSTRG.10594.1</td>\n",
       "      <td>642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>MSTRG.10616</td>\n",
       "      <td>MSTRG.10616</td>\n",
       "      <td>-</td>\n",
       "      <td>A05:1214145-1214909</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.184148</td>\n",
       "      <td>2.803980</td>\n",
       "      <td>3.928540</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10616</td>\n",
       "      <td>MSTRG.10616.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>691</td>\n",
       "      <td>MSTRG.10616.1</td>\n",
       "      <td>720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>MSTRG.10694</td>\n",
       "      <td>MSTRG.10694</td>\n",
       "      <td>-</td>\n",
       "      <td>A05:1726383-1728261</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>4.399380</td>\n",
       "      <td>0.423523</td>\n",
       "      <td>-3.376790</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10694</td>\n",
       "      <td>MSTRG.10694.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1301</td>\n",
       "      <td>MSTRG.10694.1</td>\n",
       "      <td>816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>MSTRG.1077</td>\n",
       "      <td>MSTRG.1077</td>\n",
       "      <td>-</td>\n",
       "      <td>A01:8159678-8162662</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>3.660540</td>\n",
       "      <td>3.159180</td>\n",
       "      <td>-0.212508</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.1077</td>\n",
       "      <td>MSTRG.1077.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>716</td>\n",
       "      <td>MSTRG.1077.1</td>\n",
       "      <td>1047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>MSTRG.10817</td>\n",
       "      <td>MSTRG.10817</td>\n",
       "      <td>-</td>\n",
       "      <td>A05:2618058-2620312</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.488958</td>\n",
       "      <td>2.187650</td>\n",
       "      <td>2.161600</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10817</td>\n",
       "      <td>MSTRG.10817.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2254</td>\n",
       "      <td>MSTRG.10817.1</td>\n",
       "      <td>1617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>MSTRG.10870</td>\n",
       "      <td>MSTRG.10870</td>\n",
       "      <td>-</td>\n",
       "      <td>A05:3016339-3017727</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>2.309420</td>\n",
       "      <td>1.914920</td>\n",
       "      <td>-0.270248</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10870</td>\n",
       "      <td>MSTRG.10870.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1010</td>\n",
       "      <td>MSTRG.10870.1</td>\n",
       "      <td>291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>MSTRG.10874</td>\n",
       "      <td>MSTRG.10874</td>\n",
       "      <td>-</td>\n",
       "      <td>A05:3070716-3071634</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>2.249450</td>\n",
       "      <td>2.978110</td>\n",
       "      <td>0.404825</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10874</td>\n",
       "      <td>MSTRG.10874.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>918</td>\n",
       "      <td>MSTRG.10874.1</td>\n",
       "      <td>711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>MSTRG.10894</td>\n",
       "      <td>MSTRG.10894</td>\n",
       "      <td>-</td>\n",
       "      <td>A05:3213768-3216187</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.612413</td>\n",
       "      <td>1.547240</td>\n",
       "      <td>1.337120</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10894</td>\n",
       "      <td>MSTRG.10894.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>914</td>\n",
       "      <td>MSTRG.10894.1</td>\n",
       "      <td>1701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>MSTRG.1092</td>\n",
       "      <td>MSTRG.1092</td>\n",
       "      <td>-</td>\n",
       "      <td>A01:8336080-8342578</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>17.680000</td>\n",
       "      <td>inf</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.1092</td>\n",
       "      <td>MSTRG.1092.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2126</td>\n",
       "      <td>MSTRG.1092.1</td>\n",
       "      <td>852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>MSTRG.1092</td>\n",
       "      <td>MSTRG.1092</td>\n",
       "      <td>-</td>\n",
       "      <td>A01:8336080-8342578</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>17.680000</td>\n",
       "      <td>inf</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.1092</td>\n",
       "      <td>MSTRG.1092.2</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1080</td>\n",
       "      <td>MSTRG.1092.1</td>\n",
       "      <td>852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>MSTRG.1092</td>\n",
       "      <td>MSTRG.1092</td>\n",
       "      <td>-</td>\n",
       "      <td>A01:8336080-8342578</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>17.680000</td>\n",
       "      <td>inf</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.1092</td>\n",
       "      <td>MSTRG.1092.3</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1047</td>\n",
       "      <td>MSTRG.1092.1</td>\n",
       "      <td>852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>MSTRG.10941</td>\n",
       "      <td>MSTRG.10941</td>\n",
       "      <td>-</td>\n",
       "      <td>A05:3685098-3689012</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.080732</td>\n",
       "      <td>1.651750</td>\n",
       "      <td>4.354710</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10941</td>\n",
       "      <td>MSTRG.10941.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2131</td>\n",
       "      <td>MSTRG.10941.1</td>\n",
       "      <td>2304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>MSTRG.10943</td>\n",
       "      <td>MSTRG.10943</td>\n",
       "      <td>-</td>\n",
       "      <td>A05:3713379-3714560</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>13.029800</td>\n",
       "      <td>66.332900</td>\n",
       "      <td>2.347910</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.10943</td>\n",
       "      <td>MSTRG.10943.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1181</td>\n",
       "      <td>MSTRG.10943.1</td>\n",
       "      <td>237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>MSTRG.11001</td>\n",
       "      <td>MSTRG.11001</td>\n",
       "      <td>-</td>\n",
       "      <td>A05:4244759-4246889</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>3.383270</td>\n",
       "      <td>9.119460</td>\n",
       "      <td>1.430530</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.11001</td>\n",
       "      <td>MSTRG.11001.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2130</td>\n",
       "      <td>MSTRG.11001.1</td>\n",
       "      <td>1491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>MSTRG.11039</td>\n",
       "      <td>MSTRG.11039</td>\n",
       "      <td>-</td>\n",
       "      <td>A05:4453579-4517689</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>3.402040</td>\n",
       "      <td>2.686850</td>\n",
       "      <td>-0.340486</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.11039</td>\n",
       "      <td>MSTRG.11039.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1748</td>\n",
       "      <td>MSTRG.11039.1</td>\n",
       "      <td>2421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3457</th>\n",
       "      <td>MSTRG.9022</td>\n",
       "      <td>MSTRG.9022</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:3850547-3851513</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>6.741320</td>\n",
       "      <td>3.797520</td>\n",
       "      <td>-0.827972</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9022</td>\n",
       "      <td>MSTRG.9022.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>433</td>\n",
       "      <td>MSTRG.9022.1</td>\n",
       "      <td>456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3466</th>\n",
       "      <td>MSTRG.9126</td>\n",
       "      <td>MSTRG.9126</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:5423529-5424415</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>1.302140</td>\n",
       "      <td>2.205590</td>\n",
       "      <td>0.760285</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9126</td>\n",
       "      <td>MSTRG.9126.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>729</td>\n",
       "      <td>MSTRG.9126.1</td>\n",
       "      <td>615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3469</th>\n",
       "      <td>MSTRG.915</td>\n",
       "      <td>MSTRG.915</td>\n",
       "      <td>-</td>\n",
       "      <td>A01:6837753-6841287</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.519507</td>\n",
       "      <td>4.720420</td>\n",
       "      <td>3.183700</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.915</td>\n",
       "      <td>MSTRG.915.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>807</td>\n",
       "      <td>MSTRG.915.1</td>\n",
       "      <td>918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3486</th>\n",
       "      <td>MSTRG.9236</td>\n",
       "      <td>MSTRG.9236</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:7105552-7106178</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>1.107300</td>\n",
       "      <td>2.864640</td>\n",
       "      <td>1.371310</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9236</td>\n",
       "      <td>MSTRG.9236.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>626</td>\n",
       "      <td>MSTRG.9236.1</td>\n",
       "      <td>267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3490</th>\n",
       "      <td>MSTRG.9246</td>\n",
       "      <td>MSTRG.9246</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:7287881-7289607</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>1.835920</td>\n",
       "      <td>1.586970</td>\n",
       "      <td>-0.210230</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9246</td>\n",
       "      <td>MSTRG.9246.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1726</td>\n",
       "      <td>MSTRG.9246.1</td>\n",
       "      <td>873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3500</th>\n",
       "      <td>MSTRG.932</td>\n",
       "      <td>MSTRG.932</td>\n",
       "      <td>-</td>\n",
       "      <td>A01:6916155-6934400</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>2.472720</td>\n",
       "      <td>1.569520</td>\n",
       "      <td>-0.655770</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.932</td>\n",
       "      <td>MSTRG.932.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1218</td>\n",
       "      <td>MSTRG.932.1</td>\n",
       "      <td>2802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3504</th>\n",
       "      <td>MSTRG.9332</td>\n",
       "      <td>MSTRG.9332</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:8458806-8463485</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>2.027620</td>\n",
       "      <td>4.141480</td>\n",
       "      <td>1.030360</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9332</td>\n",
       "      <td>MSTRG.9332.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>421</td>\n",
       "      <td>MSTRG.9332.1</td>\n",
       "      <td>384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3513</th>\n",
       "      <td>MSTRG.9403</td>\n",
       "      <td>MSTRG.9403</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:9090686-9091361</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.741848</td>\n",
       "      <td>1.765110</td>\n",
       "      <td>1.250560</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9403</td>\n",
       "      <td>MSTRG.9403.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>517</td>\n",
       "      <td>MSTRG.9403.1</td>\n",
       "      <td>342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3515</th>\n",
       "      <td>MSTRG.9409</td>\n",
       "      <td>MSTRG.9409</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:9362655-9363911</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>1.233480</td>\n",
       "      <td>2.475190</td>\n",
       "      <td>1.004800</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9409</td>\n",
       "      <td>MSTRG.9409.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>283</td>\n",
       "      <td>MSTRG.9409.1</td>\n",
       "      <td>1170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3521</th>\n",
       "      <td>MSTRG.9474</td>\n",
       "      <td>MSTRG.9474</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:10060021-10061042</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>33.419600</td>\n",
       "      <td>74.381000</td>\n",
       "      <td>1.154240</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9474</td>\n",
       "      <td>MSTRG.9474.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1021</td>\n",
       "      <td>MSTRG.9474.1</td>\n",
       "      <td>246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3526</th>\n",
       "      <td>MSTRG.9498</td>\n",
       "      <td>MSTRG.9498</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:10409004-10410174</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>2.137690</td>\n",
       "      <td>2.486560</td>\n",
       "      <td>0.218094</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9498</td>\n",
       "      <td>MSTRG.9498.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>919</td>\n",
       "      <td>MSTRG.9498.1</td>\n",
       "      <td>558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3549</th>\n",
       "      <td>MSTRG.9594</td>\n",
       "      <td>MSTRG.9594</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:11668748-11669988</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>1.918110</td>\n",
       "      <td>2.564550</td>\n",
       "      <td>0.419018</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9594</td>\n",
       "      <td>MSTRG.9594.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>605</td>\n",
       "      <td>MSTRG.9594.1</td>\n",
       "      <td>441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3553</th>\n",
       "      <td>MSTRG.9630</td>\n",
       "      <td>MSTRG.9630</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:12065440-12066332</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.726807</td>\n",
       "      <td>2.051450</td>\n",
       "      <td>1.497000</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9630</td>\n",
       "      <td>MSTRG.9630.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>892</td>\n",
       "      <td>MSTRG.9630.1</td>\n",
       "      <td>840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3555</th>\n",
       "      <td>MSTRG.9642</td>\n",
       "      <td>MSTRG.9642</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:12199309-12202407</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.318429</td>\n",
       "      <td>1.905720</td>\n",
       "      <td>2.581290</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9642</td>\n",
       "      <td>MSTRG.9642.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1624</td>\n",
       "      <td>MSTRG.9642.1</td>\n",
       "      <td>1974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3556</th>\n",
       "      <td>MSTRG.9649</td>\n",
       "      <td>MSTRG.9649</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:12222600-12228910</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.379991</td>\n",
       "      <td>1.338280</td>\n",
       "      <td>1.816340</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9649</td>\n",
       "      <td>MSTRG.9649.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>612</td>\n",
       "      <td>MSTRG.9649.1</td>\n",
       "      <td>4263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3560</th>\n",
       "      <td>MSTRG.9682</td>\n",
       "      <td>MSTRG.9682</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:12553396-12560177</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>5.231020</td>\n",
       "      <td>7.992200</td>\n",
       "      <td>0.611501</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9682</td>\n",
       "      <td>MSTRG.9682.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1181</td>\n",
       "      <td>MSTRG.9682.1</td>\n",
       "      <td>276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3561</th>\n",
       "      <td>MSTRG.9693</td>\n",
       "      <td>MSTRG.9693</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:12646800-12649057</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>1.371700</td>\n",
       "      <td>1.895980</td>\n",
       "      <td>0.466983</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9693</td>\n",
       "      <td>MSTRG.9693.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1058</td>\n",
       "      <td>MSTRG.9693.1</td>\n",
       "      <td>1443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3564</th>\n",
       "      <td>MSTRG.9723</td>\n",
       "      <td>MSTRG.9723</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:12994094-12994617</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>11.579300</td>\n",
       "      <td>14.861900</td>\n",
       "      <td>0.360068</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9723</td>\n",
       "      <td>MSTRG.9723.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>523</td>\n",
       "      <td>MSTRG.9723.1</td>\n",
       "      <td>450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3566</th>\n",
       "      <td>MSTRG.9735</td>\n",
       "      <td>MSTRG.9735</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:13178467-13193705</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>7.970510</td>\n",
       "      <td>8.813760</td>\n",
       "      <td>0.145085</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9735</td>\n",
       "      <td>MSTRG.9735.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2285</td>\n",
       "      <td>MSTRG.9735.1</td>\n",
       "      <td>1911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3567</th>\n",
       "      <td>MSTRG.9735</td>\n",
       "      <td>MSTRG.9735</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:13178467-13193705</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>7.970510</td>\n",
       "      <td>8.813760</td>\n",
       "      <td>0.145085</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9735</td>\n",
       "      <td>MSTRG.9735.2</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2138</td>\n",
       "      <td>MSTRG.9735.1</td>\n",
       "      <td>1911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3568</th>\n",
       "      <td>MSTRG.9735</td>\n",
       "      <td>MSTRG.9735</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:13178467-13193705</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>7.970510</td>\n",
       "      <td>8.813760</td>\n",
       "      <td>0.145085</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9735</td>\n",
       "      <td>MSTRG.9735.3</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2023</td>\n",
       "      <td>MSTRG.9735.1</td>\n",
       "      <td>1911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3569</th>\n",
       "      <td>MSTRG.9741</td>\n",
       "      <td>MSTRG.9741</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:13206667-13214564</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>3.245640</td>\n",
       "      <td>4.923300</td>\n",
       "      <td>0.601121</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9741</td>\n",
       "      <td>MSTRG.9741.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>965</td>\n",
       "      <td>MSTRG.9741.1</td>\n",
       "      <td>3132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3571</th>\n",
       "      <td>MSTRG.9754</td>\n",
       "      <td>MSTRG.9754</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:13363386-13364505</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>1.293270</td>\n",
       "      <td>4.233400</td>\n",
       "      <td>1.710800</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9754</td>\n",
       "      <td>MSTRG.9754.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>355</td>\n",
       "      <td>MSTRG.9754.1</td>\n",
       "      <td>1119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3574</th>\n",
       "      <td>MSTRG.9767</td>\n",
       "      <td>MSTRG.9767</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:13468143-13470098</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.255807</td>\n",
       "      <td>1.319760</td>\n",
       "      <td>2.367150</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9767</td>\n",
       "      <td>MSTRG.9767.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>419</td>\n",
       "      <td>MSTRG.9767.1</td>\n",
       "      <td>1524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3578</th>\n",
       "      <td>MSTRG.9814</td>\n",
       "      <td>MSTRG.9814</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:14090186-14091970</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>4078.620000</td>\n",
       "      <td>2941.560000</td>\n",
       "      <td>-0.471500</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9814</td>\n",
       "      <td>MSTRG.9814.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>340</td>\n",
       "      <td>MSTRG.9814.1</td>\n",
       "      <td>498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3583</th>\n",
       "      <td>MSTRG.986</td>\n",
       "      <td>MSTRG.986</td>\n",
       "      <td>-</td>\n",
       "      <td>A01:7602735-7603609</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>0.589176</td>\n",
       "      <td>1.361570</td>\n",
       "      <td>1.208500</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.986</td>\n",
       "      <td>MSTRG.986.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>874</td>\n",
       "      <td>MSTRG.986.1</td>\n",
       "      <td>309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3586</th>\n",
       "      <td>MSTRG.9869</td>\n",
       "      <td>MSTRG.9869</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:14707136-14709378</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>3.262060</td>\n",
       "      <td>0.756171</td>\n",
       "      <td>-2.109000</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9869</td>\n",
       "      <td>MSTRG.9869.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2202</td>\n",
       "      <td>MSTRG.9869.1</td>\n",
       "      <td>663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3599</th>\n",
       "      <td>MSTRG.99</td>\n",
       "      <td>MSTRG.99</td>\n",
       "      <td>-</td>\n",
       "      <td>A01:725977-726762</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>1.647640</td>\n",
       "      <td>2.712920</td>\n",
       "      <td>0.719445</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.99</td>\n",
       "      <td>MSTRG.99.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>262</td>\n",
       "      <td>MSTRG.99.1</td>\n",
       "      <td>519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3600</th>\n",
       "      <td>MSTRG.9918</td>\n",
       "      <td>MSTRG.9918</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:15132073-15132584</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>OK</td>\n",
       "      <td>3.277000</td>\n",
       "      <td>2.266180</td>\n",
       "      <td>-0.532109</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9918</td>\n",
       "      <td>MSTRG.9918.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>511</td>\n",
       "      <td>MSTRG.9918.1</td>\n",
       "      <td>444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3602</th>\n",
       "      <td>MSTRG.9932</td>\n",
       "      <td>MSTRG.9932</td>\n",
       "      <td>-</td>\n",
       "      <td>A04:15258903-15259779</td>\n",
       "      <td>s11_NV</td>\n",
       "      <td>s11_4V</td>\n",
       "      <td>LOWDATA</td>\n",
       "      <td>0.659915</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-inf</td>\n",
       "      <td>...</td>\n",
       "      <td>MSTRG.9932</td>\n",
       "      <td>MSTRG.9932.1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>876</td>\n",
       "      <td>MSTRG.9932.1</td>\n",
       "      <td>486</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>626 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          test_id      gene_id gene                  locus sample_1 sample_2  \\\n",
       "3     MSTRG.10013  MSTRG.10013    -  A04:15950831-15952453   s11_NV   s11_4V   \n",
       "11    MSTRG.10058  MSTRG.10058    -  A04:16292280-16293302   s11_NV   s11_4V   \n",
       "12    MSTRG.10066  MSTRG.10066    -  A04:16297799-16316386   s11_NV   s11_4V   \n",
       "17    MSTRG.10130  MSTRG.10130    -  A04:16929633-16930605   s11_NV   s11_4V   \n",
       "22    MSTRG.10158  MSTRG.10158    -  A04:17103126-17104264   s11_NV   s11_4V   \n",
       "29    MSTRG.10223  MSTRG.10223    -  A04:17629220-17630472   s11_NV   s11_4V   \n",
       "34    MSTRG.10334  MSTRG.10334    -  A04:18507892-18510139   s11_NV   s11_4V   \n",
       "35    MSTRG.10334  MSTRG.10334    -  A04:18507892-18510139   s11_NV   s11_4V   \n",
       "36    MSTRG.10334  MSTRG.10334    -  A04:18507892-18510139   s11_NV   s11_4V   \n",
       "40    MSTRG.10412  MSTRG.10412    -  A04:18983869-18984551   s11_NV   s11_4V   \n",
       "45    MSTRG.10442  MSTRG.10442    -  A04:19253997-19257880   s11_NV   s11_4V   \n",
       "46    MSTRG.10467  MSTRG.10467    -      A05:157415-158247   s11_NV   s11_4V   \n",
       "47     MSTRG.1049   MSTRG.1049    -    A01:8020833-8024698   s11_NV   s11_4V   \n",
       "49    MSTRG.10496  MSTRG.10496    -      A05:362560-365351   s11_NV   s11_4V   \n",
       "50    MSTRG.10496  MSTRG.10496    -      A05:362560-365351   s11_NV   s11_4V   \n",
       "66    MSTRG.10594  MSTRG.10594    -    A05:1100648-1101760   s11_NV   s11_4V   \n",
       "70    MSTRG.10616  MSTRG.10616    -    A05:1214145-1214909   s11_NV   s11_4V   \n",
       "74    MSTRG.10694  MSTRG.10694    -    A05:1726383-1728261   s11_NV   s11_4V   \n",
       "81     MSTRG.1077   MSTRG.1077    -    A01:8159678-8162662   s11_NV   s11_4V   \n",
       "82    MSTRG.10817  MSTRG.10817    -    A05:2618058-2620312   s11_NV   s11_4V   \n",
       "91    MSTRG.10870  MSTRG.10870    -    A05:3016339-3017727   s11_NV   s11_4V   \n",
       "92    MSTRG.10874  MSTRG.10874    -    A05:3070716-3071634   s11_NV   s11_4V   \n",
       "93    MSTRG.10894  MSTRG.10894    -    A05:3213768-3216187   s11_NV   s11_4V   \n",
       "96     MSTRG.1092   MSTRG.1092    -    A01:8336080-8342578   s11_NV   s11_4V   \n",
       "97     MSTRG.1092   MSTRG.1092    -    A01:8336080-8342578   s11_NV   s11_4V   \n",
       "98     MSTRG.1092   MSTRG.1092    -    A01:8336080-8342578   s11_NV   s11_4V   \n",
       "100   MSTRG.10941  MSTRG.10941    -    A05:3685098-3689012   s11_NV   s11_4V   \n",
       "101   MSTRG.10943  MSTRG.10943    -    A05:3713379-3714560   s11_NV   s11_4V   \n",
       "107   MSTRG.11001  MSTRG.11001    -    A05:4244759-4246889   s11_NV   s11_4V   \n",
       "121   MSTRG.11039  MSTRG.11039    -    A05:4453579-4517689   s11_NV   s11_4V   \n",
       "...           ...          ...  ...                    ...      ...      ...   \n",
       "3457   MSTRG.9022   MSTRG.9022    -    A04:3850547-3851513   s11_NV   s11_4V   \n",
       "3466   MSTRG.9126   MSTRG.9126    -    A04:5423529-5424415   s11_NV   s11_4V   \n",
       "3469    MSTRG.915    MSTRG.915    -    A01:6837753-6841287   s11_NV   s11_4V   \n",
       "3486   MSTRG.9236   MSTRG.9236    -    A04:7105552-7106178   s11_NV   s11_4V   \n",
       "3490   MSTRG.9246   MSTRG.9246    -    A04:7287881-7289607   s11_NV   s11_4V   \n",
       "3500    MSTRG.932    MSTRG.932    -    A01:6916155-6934400   s11_NV   s11_4V   \n",
       "3504   MSTRG.9332   MSTRG.9332    -    A04:8458806-8463485   s11_NV   s11_4V   \n",
       "3513   MSTRG.9403   MSTRG.9403    -    A04:9090686-9091361   s11_NV   s11_4V   \n",
       "3515   MSTRG.9409   MSTRG.9409    -    A04:9362655-9363911   s11_NV   s11_4V   \n",
       "3521   MSTRG.9474   MSTRG.9474    -  A04:10060021-10061042   s11_NV   s11_4V   \n",
       "3526   MSTRG.9498   MSTRG.9498    -  A04:10409004-10410174   s11_NV   s11_4V   \n",
       "3549   MSTRG.9594   MSTRG.9594    -  A04:11668748-11669988   s11_NV   s11_4V   \n",
       "3553   MSTRG.9630   MSTRG.9630    -  A04:12065440-12066332   s11_NV   s11_4V   \n",
       "3555   MSTRG.9642   MSTRG.9642    -  A04:12199309-12202407   s11_NV   s11_4V   \n",
       "3556   MSTRG.9649   MSTRG.9649    -  A04:12222600-12228910   s11_NV   s11_4V   \n",
       "3560   MSTRG.9682   MSTRG.9682    -  A04:12553396-12560177   s11_NV   s11_4V   \n",
       "3561   MSTRG.9693   MSTRG.9693    -  A04:12646800-12649057   s11_NV   s11_4V   \n",
       "3564   MSTRG.9723   MSTRG.9723    -  A04:12994094-12994617   s11_NV   s11_4V   \n",
       "3566   MSTRG.9735   MSTRG.9735    -  A04:13178467-13193705   s11_NV   s11_4V   \n",
       "3567   MSTRG.9735   MSTRG.9735    -  A04:13178467-13193705   s11_NV   s11_4V   \n",
       "3568   MSTRG.9735   MSTRG.9735    -  A04:13178467-13193705   s11_NV   s11_4V   \n",
       "3569   MSTRG.9741   MSTRG.9741    -  A04:13206667-13214564   s11_NV   s11_4V   \n",
       "3571   MSTRG.9754   MSTRG.9754    -  A04:13363386-13364505   s11_NV   s11_4V   \n",
       "3574   MSTRG.9767   MSTRG.9767    -  A04:13468143-13470098   s11_NV   s11_4V   \n",
       "3578   MSTRG.9814   MSTRG.9814    -  A04:14090186-14091970   s11_NV   s11_4V   \n",
       "3583    MSTRG.986    MSTRG.986    -    A01:7602735-7603609   s11_NV   s11_4V   \n",
       "3586   MSTRG.9869   MSTRG.9869    -  A04:14707136-14709378   s11_NV   s11_4V   \n",
       "3599     MSTRG.99     MSTRG.99    -      A01:725977-726762   s11_NV   s11_4V   \n",
       "3600   MSTRG.9918   MSTRG.9918    -  A04:15132073-15132584   s11_NV   s11_4V   \n",
       "3602   MSTRG.9932   MSTRG.9932    -  A04:15258903-15259779   s11_NV   s11_4V   \n",
       "\n",
       "       status      value_1      value_2  log2(fold_change)      ...        \\\n",
       "3          OK     4.380540     1.756200          -1.318650      ...         \n",
       "11         OK     1.215500     0.877836          -0.469532      ...         \n",
       "12         OK     0.970437     1.200640           0.307091      ...         \n",
       "17         OK     1.537330     3.086380           1.005490      ...         \n",
       "22         OK     3.289680     1.239670          -1.407990      ...         \n",
       "29         OK     1.425500     6.273830           2.137880      ...         \n",
       "34         OK     3.733960     3.592970          -0.055530      ...         \n",
       "35         OK     3.733960     3.592970          -0.055530      ...         \n",
       "36         OK     3.733960     3.592970          -0.055530      ...         \n",
       "40         OK     0.207932     2.112190           3.344550      ...         \n",
       "45         OK     2.006550     2.714610           0.436026      ...         \n",
       "46         OK     0.884936     6.039600           2.770810      ...         \n",
       "47         OK     1.592460     1.926980           0.275083      ...         \n",
       "49         OK    29.811900    24.784800          -0.266433      ...         \n",
       "50         OK    29.811900    24.784800          -0.266433      ...         \n",
       "66         OK     0.599026     1.873290           1.644890      ...         \n",
       "70         OK     0.184148     2.803980           3.928540      ...         \n",
       "74         OK     4.399380     0.423523          -3.376790      ...         \n",
       "81         OK     3.660540     3.159180          -0.212508      ...         \n",
       "82         OK     0.488958     2.187650           2.161600      ...         \n",
       "91         OK     2.309420     1.914920          -0.270248      ...         \n",
       "92         OK     2.249450     2.978110           0.404825      ...         \n",
       "93         OK     0.612413     1.547240           1.337120      ...         \n",
       "96         OK     0.000000    17.680000                inf      ...         \n",
       "97         OK     0.000000    17.680000                inf      ...         \n",
       "98         OK     0.000000    17.680000                inf      ...         \n",
       "100        OK     0.080732     1.651750           4.354710      ...         \n",
       "101        OK    13.029800    66.332900           2.347910      ...         \n",
       "107        OK     3.383270     9.119460           1.430530      ...         \n",
       "121        OK     3.402040     2.686850          -0.340486      ...         \n",
       "...       ...          ...          ...                ...      ...         \n",
       "3457       OK     6.741320     3.797520          -0.827972      ...         \n",
       "3466       OK     1.302140     2.205590           0.760285      ...         \n",
       "3469       OK     0.519507     4.720420           3.183700      ...         \n",
       "3486       OK     1.107300     2.864640           1.371310      ...         \n",
       "3490       OK     1.835920     1.586970          -0.210230      ...         \n",
       "3500       OK     2.472720     1.569520          -0.655770      ...         \n",
       "3504       OK     2.027620     4.141480           1.030360      ...         \n",
       "3513       OK     0.741848     1.765110           1.250560      ...         \n",
       "3515       OK     1.233480     2.475190           1.004800      ...         \n",
       "3521       OK    33.419600    74.381000           1.154240      ...         \n",
       "3526       OK     2.137690     2.486560           0.218094      ...         \n",
       "3549       OK     1.918110     2.564550           0.419018      ...         \n",
       "3553       OK     0.726807     2.051450           1.497000      ...         \n",
       "3555       OK     0.318429     1.905720           2.581290      ...         \n",
       "3556       OK     0.379991     1.338280           1.816340      ...         \n",
       "3560       OK     5.231020     7.992200           0.611501      ...         \n",
       "3561       OK     1.371700     1.895980           0.466983      ...         \n",
       "3564       OK    11.579300    14.861900           0.360068      ...         \n",
       "3566       OK     7.970510     8.813760           0.145085      ...         \n",
       "3567       OK     7.970510     8.813760           0.145085      ...         \n",
       "3568       OK     7.970510     8.813760           0.145085      ...         \n",
       "3569       OK     3.245640     4.923300           0.601121      ...         \n",
       "3571       OK     1.293270     4.233400           1.710800      ...         \n",
       "3574       OK     0.255807     1.319760           2.367150      ...         \n",
       "3578       OK  4078.620000  2941.560000          -0.471500      ...         \n",
       "3583       OK     0.589176     1.361570           1.208500      ...         \n",
       "3586       OK     3.262060     0.756171          -2.109000      ...         \n",
       "3599       OK     1.647640     2.712920           0.719445      ...         \n",
       "3600       OK     3.277000     2.266180          -0.532109      ...         \n",
       "3602  LOWDATA     0.659915     0.000000               -inf      ...         \n",
       "\n",
       "      qry_gene_id         qry_id  FMI FPKM FPKM_conf_lo FPKM_conf_hi cov  \\\n",
       "3     MSTRG.10013  MSTRG.10013.1  100    0            0            0   0   \n",
       "11    MSTRG.10058  MSTRG.10058.1  100    0            0            0   0   \n",
       "12    MSTRG.10066  MSTRG.10066.1  100    0            0            0   0   \n",
       "17    MSTRG.10130  MSTRG.10130.1  100    0            0            0   0   \n",
       "22    MSTRG.10158  MSTRG.10158.1  100    0            0            0   0   \n",
       "29    MSTRG.10223  MSTRG.10223.1  100    0            0            0   0   \n",
       "34    MSTRG.10334  MSTRG.10334.1  100    0            0            0   0   \n",
       "35    MSTRG.10334  MSTRG.10334.2  100    0            0            0   0   \n",
       "36    MSTRG.10334  MSTRG.10334.3  100    0            0            0   0   \n",
       "40    MSTRG.10412  MSTRG.10412.1  100    0            0            0   0   \n",
       "45    MSTRG.10442  MSTRG.10442.1  100    0            0            0   0   \n",
       "46    MSTRG.10467  MSTRG.10467.1  100    0            0            0   0   \n",
       "47     MSTRG.1049   MSTRG.1049.1  100    0            0            0   0   \n",
       "49    MSTRG.10496  MSTRG.10496.1  100    0            0            0   0   \n",
       "50    MSTRG.10496  MSTRG.10496.2  100    0            0            0   0   \n",
       "66    MSTRG.10594  MSTRG.10594.1  100    0            0            0   0   \n",
       "70    MSTRG.10616  MSTRG.10616.1  100    0            0            0   0   \n",
       "74    MSTRG.10694  MSTRG.10694.1  100    0            0            0   0   \n",
       "81     MSTRG.1077   MSTRG.1077.1  100    0            0            0   0   \n",
       "82    MSTRG.10817  MSTRG.10817.1  100    0            0            0   0   \n",
       "91    MSTRG.10870  MSTRG.10870.1  100    0            0            0   0   \n",
       "92    MSTRG.10874  MSTRG.10874.1  100    0            0            0   0   \n",
       "93    MSTRG.10894  MSTRG.10894.1  100    0            0            0   0   \n",
       "96     MSTRG.1092   MSTRG.1092.1  100    0            0            0   0   \n",
       "97     MSTRG.1092   MSTRG.1092.2  100    0            0            0   0   \n",
       "98     MSTRG.1092   MSTRG.1092.3  100    0            0            0   0   \n",
       "100   MSTRG.10941  MSTRG.10941.1  100    0            0            0   0   \n",
       "101   MSTRG.10943  MSTRG.10943.1  100    0            0            0   0   \n",
       "107   MSTRG.11001  MSTRG.11001.1  100    0            0            0   0   \n",
       "121   MSTRG.11039  MSTRG.11039.1  100    0            0            0   0   \n",
       "...           ...            ...  ...  ...          ...          ...  ..   \n",
       "3457   MSTRG.9022   MSTRG.9022.1  100    0            0            0   0   \n",
       "3466   MSTRG.9126   MSTRG.9126.1  100    0            0            0   0   \n",
       "3469    MSTRG.915    MSTRG.915.1  100    0            0            0   0   \n",
       "3486   MSTRG.9236   MSTRG.9236.1  100    0            0            0   0   \n",
       "3490   MSTRG.9246   MSTRG.9246.1  100    0            0            0   0   \n",
       "3500    MSTRG.932    MSTRG.932.1  100    0            0            0   0   \n",
       "3504   MSTRG.9332   MSTRG.9332.1  100    0            0            0   0   \n",
       "3513   MSTRG.9403   MSTRG.9403.1  100    0            0            0   0   \n",
       "3515   MSTRG.9409   MSTRG.9409.1  100    0            0            0   0   \n",
       "3521   MSTRG.9474   MSTRG.9474.1  100    0            0            0   0   \n",
       "3526   MSTRG.9498   MSTRG.9498.1  100    0            0            0   0   \n",
       "3549   MSTRG.9594   MSTRG.9594.1  100    0            0            0   0   \n",
       "3553   MSTRG.9630   MSTRG.9630.1  100    0            0            0   0   \n",
       "3555   MSTRG.9642   MSTRG.9642.1  100    0            0            0   0   \n",
       "3556   MSTRG.9649   MSTRG.9649.1  100    0            0            0   0   \n",
       "3560   MSTRG.9682   MSTRG.9682.1  100    0            0            0   0   \n",
       "3561   MSTRG.9693   MSTRG.9693.1  100    0            0            0   0   \n",
       "3564   MSTRG.9723   MSTRG.9723.1  100    0            0            0   0   \n",
       "3566   MSTRG.9735   MSTRG.9735.1  100    0            0            0   0   \n",
       "3567   MSTRG.9735   MSTRG.9735.2  100    0            0            0   0   \n",
       "3568   MSTRG.9735   MSTRG.9735.3  100    0            0            0   0   \n",
       "3569   MSTRG.9741   MSTRG.9741.1  100    0            0            0   0   \n",
       "3571   MSTRG.9754   MSTRG.9754.1  100    0            0            0   0   \n",
       "3574   MSTRG.9767   MSTRG.9767.1  100    0            0            0   0   \n",
       "3578   MSTRG.9814   MSTRG.9814.1  100    0            0            0   0   \n",
       "3583    MSTRG.986    MSTRG.986.1  100    0            0            0   0   \n",
       "3586   MSTRG.9869   MSTRG.9869.1  100    0            0            0   0   \n",
       "3599     MSTRG.99     MSTRG.99.1  100    0            0            0   0   \n",
       "3600   MSTRG.9918   MSTRG.9918.1  100    0            0            0   0   \n",
       "3602   MSTRG.9932   MSTRG.9932.1  100    0            0            0   0   \n",
       "\n",
       "       len   major_iso_id  ref_match_len  \n",
       "3      346  MSTRG.10013.1           1341  \n",
       "11    1022  MSTRG.10058.1            852  \n",
       "12     373  MSTRG.10066.1            411  \n",
       "17     972  MSTRG.10130.1            675  \n",
       "22    1138  MSTRG.10158.1            261  \n",
       "29    1252  MSTRG.10223.1            807  \n",
       "34    1457  MSTRG.10334.1            504  \n",
       "35    1345  MSTRG.10334.1            504  \n",
       "36    1074  MSTRG.10334.1            504  \n",
       "40     682  MSTRG.10412.1            480  \n",
       "45    2351  MSTRG.10442.1           1164  \n",
       "46     832  MSTRG.10467.1            690  \n",
       "47     959   MSTRG.1049.1            729  \n",
       "49    2167  MSTRG.10496.1           1125  \n",
       "50    1880  MSTRG.10496.1           1125  \n",
       "66    1112  MSTRG.10594.1            642  \n",
       "70     691  MSTRG.10616.1            720  \n",
       "74    1301  MSTRG.10694.1            816  \n",
       "81     716   MSTRG.1077.1           1047  \n",
       "82    2254  MSTRG.10817.1           1617  \n",
       "91    1010  MSTRG.10870.1            291  \n",
       "92     918  MSTRG.10874.1            711  \n",
       "93     914  MSTRG.10894.1           1701  \n",
       "96    2126   MSTRG.1092.1            852  \n",
       "97    1080   MSTRG.1092.1            852  \n",
       "98    1047   MSTRG.1092.1            852  \n",
       "100   2131  MSTRG.10941.1           2304  \n",
       "101   1181  MSTRG.10943.1            237  \n",
       "107   2130  MSTRG.11001.1           1491  \n",
       "121   1748  MSTRG.11039.1           2421  \n",
       "...    ...            ...            ...  \n",
       "3457   433   MSTRG.9022.1            456  \n",
       "3466   729   MSTRG.9126.1            615  \n",
       "3469   807    MSTRG.915.1            918  \n",
       "3486   626   MSTRG.9236.1            267  \n",
       "3490  1726   MSTRG.9246.1            873  \n",
       "3500  1218    MSTRG.932.1           2802  \n",
       "3504   421   MSTRG.9332.1            384  \n",
       "3513   517   MSTRG.9403.1            342  \n",
       "3515   283   MSTRG.9409.1           1170  \n",
       "3521  1021   MSTRG.9474.1            246  \n",
       "3526   919   MSTRG.9498.1            558  \n",
       "3549   605   MSTRG.9594.1            441  \n",
       "3553   892   MSTRG.9630.1            840  \n",
       "3555  1624   MSTRG.9642.1           1974  \n",
       "3556   612   MSTRG.9649.1           4263  \n",
       "3560  1181   MSTRG.9682.1            276  \n",
       "3561  1058   MSTRG.9693.1           1443  \n",
       "3564   523   MSTRG.9723.1            450  \n",
       "3566  2285   MSTRG.9735.1           1911  \n",
       "3567  2138   MSTRG.9735.1           1911  \n",
       "3568  2023   MSTRG.9735.1           1911  \n",
       "3569   965   MSTRG.9741.1           3132  \n",
       "3571   355   MSTRG.9754.1           1119  \n",
       "3574   419   MSTRG.9767.1           1524  \n",
       "3578   340   MSTRG.9814.1            498  \n",
       "3583   874    MSTRG.986.1            309  \n",
       "3586  2202   MSTRG.9869.1            663  \n",
       "3599   262     MSTRG.99.1            519  \n",
       "3600   511   MSTRG.9918.1            444  \n",
       "3602   876   MSTRG.9932.1            486  \n",
       "\n",
       "[626 rows x 27 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lncrnas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We want to look at `qry_id`, `value_1`, `value2`, and `ref_gene_id` because some entries have more than one isoform and we want to preserve the mapping to the gene. Additionally, we only look at those NATs that were deemed to be significantly expressed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "DENATs = lncrnas[lncrnas.significant.str.match('yes')][['qry_id','value_1','value_2','ref_gene_id']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>qry_id</th>\n",
       "      <th>value_1</th>\n",
       "      <th>value_2</th>\n",
       "      <th>ref_gene_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>MSTRG.10158.1</td>\n",
       "      <td>3.289680</td>\n",
       "      <td>1.239670</td>\n",
       "      <td>Bra017036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>MSTRG.10467.1</td>\n",
       "      <td>0.884936</td>\n",
       "      <td>6.039600</td>\n",
       "      <td>Bra004446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>MSTRG.10694.1</td>\n",
       "      <td>4.399380</td>\n",
       "      <td>0.423523</td>\n",
       "      <td>Bra004765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>MSTRG.10943.1</td>\n",
       "      <td>13.029800</td>\n",
       "      <td>66.332900</td>\n",
       "      <td>Bra005145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>MSTRG.1162.1</td>\n",
       "      <td>2.205090</td>\n",
       "      <td>3.901190</td>\n",
       "      <td>Bra026425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>MSTRG.11738.1</td>\n",
       "      <td>6.402750</td>\n",
       "      <td>10.695500</td>\n",
       "      <td>Bra010161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>MSTRG.12544.1</td>\n",
       "      <td>3.322940</td>\n",
       "      <td>6.060330</td>\n",
       "      <td>Bra029813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>MSTRG.1260.1</td>\n",
       "      <td>9.349200</td>\n",
       "      <td>4.261560</td>\n",
       "      <td>Bra026279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>MSTRG.12739.1</td>\n",
       "      <td>1.019460</td>\n",
       "      <td>4.406540</td>\n",
       "      <td>Bra020787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>MSTRG.13150.1</td>\n",
       "      <td>20891.100000</td>\n",
       "      <td>4867.750000</td>\n",
       "      <td>Bra018810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>MSTRG.13391.1</td>\n",
       "      <td>0.181198</td>\n",
       "      <td>2.389320</td>\n",
       "      <td>Bra019927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>MSTRG.14060.1</td>\n",
       "      <td>0.997362</td>\n",
       "      <td>3.039260</td>\n",
       "      <td>Bra018088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>MSTRG.14121.1</td>\n",
       "      <td>0.841999</td>\n",
       "      <td>3.118640</td>\n",
       "      <td>Bra018171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>MSTRG.14321.1</td>\n",
       "      <td>2.049860</td>\n",
       "      <td>4.418800</td>\n",
       "      <td>Bra010040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>605</th>\n",
       "      <td>MSTRG.14865.1</td>\n",
       "      <td>0.645026</td>\n",
       "      <td>3.676250</td>\n",
       "      <td>Bra009948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>641</th>\n",
       "      <td>MSTRG.15105.1</td>\n",
       "      <td>2.800880</td>\n",
       "      <td>7.263030</td>\n",
       "      <td>Bra025323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>666</th>\n",
       "      <td>MSTRG.15328.1</td>\n",
       "      <td>0.354029</td>\n",
       "      <td>2.296400</td>\n",
       "      <td>Bra024872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>705</th>\n",
       "      <td>MSTRG.15693.1</td>\n",
       "      <td>2.046240</td>\n",
       "      <td>1.160460</td>\n",
       "      <td>Bra039007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>706</th>\n",
       "      <td>MSTRG.15696.1</td>\n",
       "      <td>2.725080</td>\n",
       "      <td>1.635950</td>\n",
       "      <td>Bra039006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>761</th>\n",
       "      <td>MSTRG.15912.1</td>\n",
       "      <td>2236.170000</td>\n",
       "      <td>897.165000</td>\n",
       "      <td>Bra015187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>763</th>\n",
       "      <td>MSTRG.1592.1</td>\n",
       "      <td>2.012400</td>\n",
       "      <td>4.643310</td>\n",
       "      <td>Bra038865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>776</th>\n",
       "      <td>MSTRG.15963.1</td>\n",
       "      <td>4.759070</td>\n",
       "      <td>1.050700</td>\n",
       "      <td>Bra015111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>778</th>\n",
       "      <td>MSTRG.15983.1</td>\n",
       "      <td>7.184920</td>\n",
       "      <td>15.374200</td>\n",
       "      <td>Bra015085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>779</th>\n",
       "      <td>MSTRG.15983.2</td>\n",
       "      <td>7.184920</td>\n",
       "      <td>15.374200</td>\n",
       "      <td>Bra015085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>780</th>\n",
       "      <td>MSTRG.15983.3</td>\n",
       "      <td>7.184920</td>\n",
       "      <td>15.374200</td>\n",
       "      <td>Bra015085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>781</th>\n",
       "      <td>MSTRG.15983.4</td>\n",
       "      <td>7.184920</td>\n",
       "      <td>15.374200</td>\n",
       "      <td>Bra015085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>783</th>\n",
       "      <td>MSTRG.15998.1</td>\n",
       "      <td>2.915970</td>\n",
       "      <td>0.681447</td>\n",
       "      <td>Bra015050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>888</th>\n",
       "      <td>MSTRG.16690.1</td>\n",
       "      <td>0.999956</td>\n",
       "      <td>2.576520</td>\n",
       "      <td>Bra028503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>MSTRG.17011.1</td>\n",
       "      <td>2.645350</td>\n",
       "      <td>0.290237</td>\n",
       "      <td>Bra003511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>945</th>\n",
       "      <td>MSTRG.17153.1</td>\n",
       "      <td>3.069690</td>\n",
       "      <td>1.256980</td>\n",
       "      <td>Bra003702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2731</th>\n",
       "      <td>MSTRG.3825.1</td>\n",
       "      <td>1.760910</td>\n",
       "      <td>4.662370</td>\n",
       "      <td>Bra008034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2793</th>\n",
       "      <td>MSTRG.4179.1</td>\n",
       "      <td>21.679300</td>\n",
       "      <td>2.152110</td>\n",
       "      <td>Bra033120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2835</th>\n",
       "      <td>MSTRG.4350.1</td>\n",
       "      <td>7.651190</td>\n",
       "      <td>3.073170</td>\n",
       "      <td>Bra026651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2893</th>\n",
       "      <td>MSTRG.4721.1</td>\n",
       "      <td>32.507300</td>\n",
       "      <td>46.974400</td>\n",
       "      <td>Bra020483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2907</th>\n",
       "      <td>MSTRG.4795.1</td>\n",
       "      <td>1.831660</td>\n",
       "      <td>12.197600</td>\n",
       "      <td>Bra029292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2922</th>\n",
       "      <td>MSTRG.4921.1</td>\n",
       "      <td>5.730660</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>Bra031832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2931</th>\n",
       "      <td>MSTRG.4960.1</td>\n",
       "      <td>1.676020</td>\n",
       "      <td>5.797570</td>\n",
       "      <td>Bra005680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2969</th>\n",
       "      <td>MSTRG.5283.1</td>\n",
       "      <td>57.338300</td>\n",
       "      <td>30.262500</td>\n",
       "      <td>Bra006153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2977</th>\n",
       "      <td>MSTRG.5363.1</td>\n",
       "      <td>20.772700</td>\n",
       "      <td>9.721240</td>\n",
       "      <td>Bra006261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2978</th>\n",
       "      <td>MSTRG.5363.2</td>\n",
       "      <td>20.772700</td>\n",
       "      <td>9.721240</td>\n",
       "      <td>Bra006261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3018</th>\n",
       "      <td>MSTRG.5770.1</td>\n",
       "      <td>0.449534</td>\n",
       "      <td>1.639680</td>\n",
       "      <td>Bra006862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3028</th>\n",
       "      <td>MSTRG.5884.1</td>\n",
       "      <td>16.778700</td>\n",
       "      <td>1.661290</td>\n",
       "      <td>Bra029099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3044</th>\n",
       "      <td>MSTRG.5996.1</td>\n",
       "      <td>43.095000</td>\n",
       "      <td>6.533520</td>\n",
       "      <td>Bra022818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3080</th>\n",
       "      <td>MSTRG.6333.1</td>\n",
       "      <td>307.546000</td>\n",
       "      <td>120.316000</td>\n",
       "      <td>Bra000226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3177</th>\n",
       "      <td>MSTRG.7151.1</td>\n",
       "      <td>9.171800</td>\n",
       "      <td>1.944240</td>\n",
       "      <td>Bra001390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3190</th>\n",
       "      <td>MSTRG.7219.1</td>\n",
       "      <td>4.872590</td>\n",
       "      <td>15.835800</td>\n",
       "      <td>Bra001485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3191</th>\n",
       "      <td>MSTRG.7219.2</td>\n",
       "      <td>4.872590</td>\n",
       "      <td>15.835800</td>\n",
       "      <td>Bra001485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3192</th>\n",
       "      <td>MSTRG.7219.3</td>\n",
       "      <td>4.872590</td>\n",
       "      <td>15.835800</td>\n",
       "      <td>Bra001485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3235</th>\n",
       "      <td>MSTRG.7460.1</td>\n",
       "      <td>5.922270</td>\n",
       "      <td>16.900000</td>\n",
       "      <td>Bra001846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3265</th>\n",
       "      <td>MSTRG.7663.1</td>\n",
       "      <td>0.671655</td>\n",
       "      <td>1.884050</td>\n",
       "      <td>Bra013074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3266</th>\n",
       "      <td>MSTRG.7679.1</td>\n",
       "      <td>2.949390</td>\n",
       "      <td>1.004190</td>\n",
       "      <td>Bra013050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3292</th>\n",
       "      <td>MSTRG.7819.1</td>\n",
       "      <td>7.989460</td>\n",
       "      <td>3.490140</td>\n",
       "      <td>Bra012830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3299</th>\n",
       "      <td>MSTRG.7911.1</td>\n",
       "      <td>5.212030</td>\n",
       "      <td>8.723260</td>\n",
       "      <td>Bra012699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3320</th>\n",
       "      <td>MSTRG.8087.1</td>\n",
       "      <td>1.951750</td>\n",
       "      <td>1.066100</td>\n",
       "      <td>Bra019356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3346</th>\n",
       "      <td>MSTRG.8355.1</td>\n",
       "      <td>1.448520</td>\n",
       "      <td>4.712470</td>\n",
       "      <td>Bra024126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3390</th>\n",
       "      <td>MSTRG.8632.1</td>\n",
       "      <td>4.863900</td>\n",
       "      <td>10.562700</td>\n",
       "      <td>Bra017808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3417</th>\n",
       "      <td>MSTRG.8795.1</td>\n",
       "      <td>5.338030</td>\n",
       "      <td>10.730100</td>\n",
       "      <td>Bra014500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3435</th>\n",
       "      <td>MSTRG.888.1</td>\n",
       "      <td>2.265910</td>\n",
       "      <td>7.146620</td>\n",
       "      <td>Bra013600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3521</th>\n",
       "      <td>MSTRG.9474.1</td>\n",
       "      <td>33.419600</td>\n",
       "      <td>74.381000</td>\n",
       "      <td>Bra030240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3586</th>\n",
       "      <td>MSTRG.9869.1</td>\n",
       "      <td>3.262060</td>\n",
       "      <td>0.756171</td>\n",
       "      <td>Bra021804</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>143 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             qry_id       value_1      value_2 ref_gene_id\n",
       "22    MSTRG.10158.1      3.289680     1.239670   Bra017036\n",
       "46    MSTRG.10467.1      0.884936     6.039600   Bra004446\n",
       "74    MSTRG.10694.1      4.399380     0.423523   Bra004765\n",
       "101   MSTRG.10943.1     13.029800    66.332900   Bra005145\n",
       "201    MSTRG.1162.1      2.205090     3.901190   Bra026425\n",
       "233   MSTRG.11738.1      6.402750    10.695500   Bra010161\n",
       "340   MSTRG.12544.1      3.322940     6.060330   Bra029813\n",
       "343    MSTRG.1260.1      9.349200     4.261560   Bra026279\n",
       "348   MSTRG.12739.1      1.019460     4.406540   Bra020787\n",
       "388   MSTRG.13150.1  20891.100000  4867.750000   Bra018810\n",
       "405   MSTRG.13391.1      0.181198     2.389320   Bra019927\n",
       "476   MSTRG.14060.1      0.997362     3.039260   Bra018088\n",
       "484   MSTRG.14121.1      0.841999     3.118640   Bra018171\n",
       "535   MSTRG.14321.1      2.049860     4.418800   Bra010040\n",
       "605   MSTRG.14865.1      0.645026     3.676250   Bra009948\n",
       "641   MSTRG.15105.1      2.800880     7.263030   Bra025323\n",
       "666   MSTRG.15328.1      0.354029     2.296400   Bra024872\n",
       "705   MSTRG.15693.1      2.046240     1.160460   Bra039007\n",
       "706   MSTRG.15696.1      2.725080     1.635950   Bra039006\n",
       "761   MSTRG.15912.1   2236.170000   897.165000   Bra015187\n",
       "763    MSTRG.1592.1      2.012400     4.643310   Bra038865\n",
       "776   MSTRG.15963.1      4.759070     1.050700   Bra015111\n",
       "778   MSTRG.15983.1      7.184920    15.374200   Bra015085\n",
       "779   MSTRG.15983.2      7.184920    15.374200   Bra015085\n",
       "780   MSTRG.15983.3      7.184920    15.374200   Bra015085\n",
       "781   MSTRG.15983.4      7.184920    15.374200   Bra015085\n",
       "783   MSTRG.15998.1      2.915970     0.681447   Bra015050\n",
       "888   MSTRG.16690.1      0.999956     2.576520   Bra028503\n",
       "927   MSTRG.17011.1      2.645350     0.290237   Bra003511\n",
       "945   MSTRG.17153.1      3.069690     1.256980   Bra003702\n",
       "...             ...           ...          ...         ...\n",
       "2731   MSTRG.3825.1      1.760910     4.662370   Bra008034\n",
       "2793   MSTRG.4179.1     21.679300     2.152110   Bra033120\n",
       "2835   MSTRG.4350.1      7.651190     3.073170   Bra026651\n",
       "2893   MSTRG.4721.1     32.507300    46.974400   Bra020483\n",
       "2907   MSTRG.4795.1      1.831660    12.197600   Bra029292\n",
       "2922   MSTRG.4921.1      5.730660     0.000000   Bra031832\n",
       "2931   MSTRG.4960.1      1.676020     5.797570   Bra005680\n",
       "2969   MSTRG.5283.1     57.338300    30.262500   Bra006153\n",
       "2977   MSTRG.5363.1     20.772700     9.721240   Bra006261\n",
       "2978   MSTRG.5363.2     20.772700     9.721240   Bra006261\n",
       "3018   MSTRG.5770.1      0.449534     1.639680   Bra006862\n",
       "3028   MSTRG.5884.1     16.778700     1.661290   Bra029099\n",
       "3044   MSTRG.5996.1     43.095000     6.533520   Bra022818\n",
       "3080   MSTRG.6333.1    307.546000   120.316000   Bra000226\n",
       "3177   MSTRG.7151.1      9.171800     1.944240   Bra001390\n",
       "3190   MSTRG.7219.1      4.872590    15.835800   Bra001485\n",
       "3191   MSTRG.7219.2      4.872590    15.835800   Bra001485\n",
       "3192   MSTRG.7219.3      4.872590    15.835800   Bra001485\n",
       "3235   MSTRG.7460.1      5.922270    16.900000   Bra001846\n",
       "3265   MSTRG.7663.1      0.671655     1.884050   Bra013074\n",
       "3266   MSTRG.7679.1      2.949390     1.004190   Bra013050\n",
       "3292   MSTRG.7819.1      7.989460     3.490140   Bra012830\n",
       "3299   MSTRG.7911.1      5.212030     8.723260   Bra012699\n",
       "3320   MSTRG.8087.1      1.951750     1.066100   Bra019356\n",
       "3346   MSTRG.8355.1      1.448520     4.712470   Bra024126\n",
       "3390   MSTRG.8632.1      4.863900    10.562700   Bra017808\n",
       "3417   MSTRG.8795.1      5.338030    10.730100   Bra014500\n",
       "3435    MSTRG.888.1      2.265910     7.146620   Bra013600\n",
       "3521   MSTRG.9474.1     33.419600    74.381000   Bra030240\n",
       "3586   MSTRG.9869.1      3.262060     0.756171   Bra021804\n",
       "\n",
       "[143 rows x 4 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DENATs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fe66222b7b8>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe66284dfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(DENATs.value_1, DENATs.value_2, marker='.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "DENATkmeans = KMeans(n_clusters=3).fit(DENATs[['value_1','value_2']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0], dtype=int32)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DENATkmeans.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "expressionSet_match = expressionSet[expressionSet.gene.isin(DENATs.ref_gene_id)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "DENAT_match = DENATs[DENATs.ref_gene_id.isin(expressionSet.gene)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "expressionSet_match_kmeans = KMeans(n_clusters=3).fit(expressionSet_match[['value_1','value_2']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "DENAT_match_kmeans = KMeans(n_clusters=3).fit(DENAT_match[['value_1','value_2']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dshea/anaconda3/lib/python3.6/site-packages/ipykernel/__main__.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "expressionSet_match['cluster'] = expressionSet_match_kmeans.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dshea/anaconda3/lib/python3.6/site-packages/ipykernel/__main__.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "DENAT_match['cluster'] = DENAT_match_kmeans.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "      <td>Bra006862</td>\n",
       "      <td>1.08358</td>\n",
       "      <td>2.251020</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38871</th>\n",
       "      <td>Bra029099</td>\n",
       "      <td>11.87450</td>\n",
       "      <td>5.020040</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40282</th>\n",
       "      <td>Bra001390</td>\n",
       "      <td>44.60920</td>\n",
       "      <td>7.398270</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40625</th>\n",
       "      <td>Bra001846</td>\n",
       "      <td>31.46010</td>\n",
       "      <td>6.805600</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41619</th>\n",
       "      <td>Bra024126</td>\n",
       "      <td>43.12120</td>\n",
       "      <td>197.363000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            gene   value_1     value_2  cluster\n",
       "16963  Bra004446   0.89278    2.930110        0\n",
       "22117  Bra025323   7.78977   19.671500        0\n",
       "24235  Bra003511   4.47764    0.310284        0\n",
       "24617  Bra004009  34.78040    9.353070        0\n",
       "24912  Bra016256  41.95890   10.070200        0\n",
       "28484  Bra037845   2.56710   26.685900        0\n",
       "29354  Bra021594  18.91030   69.478600        2\n",
       "29675  Bra029572   7.07153    0.934367        0\n",
       "30929  Bra007504   4.02342   10.182700        0\n",
       "34114  Bra009516   9.37201    3.506510        0\n",
       "34208  Bra028893  14.69010    1.710950        0\n",
       "36310  Bra039752   7.26386   11.979500        0\n",
       "37661  Bra029292   1.35222   58.719500        2\n",
       "38747  Bra006862   1.08358    2.251020        0\n",
       "38871  Bra029099  11.87450    5.020040        0\n",
       "40282  Bra001390  44.60920    7.398270        0\n",
       "40625  Bra001846  31.46010    6.805600        0\n",
       "41619  Bra024126  43.12120  197.363000        1"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "expressionSet_match"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>qry_id</th>\n",
       "      <th>value_1</th>\n",
       "      <th>value_2</th>\n",
       "      <th>ref_gene_id</th>\n",
       "      <th>cluster</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>MSTRG.10467.1</td>\n",
       "      <td>0.884936</td>\n",
       "      <td>6.039600</td>\n",
       "      <td>Bra004446</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>641</th>\n",
       "      <td>MSTRG.15105.1</td>\n",
       "      <td>2.800880</td>\n",
       "      <td>7.263030</td>\n",
       "      <td>Bra025323</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>MSTRG.17011.1</td>\n",
       "      <td>2.645350</td>\n",
       "      <td>0.290237</td>\n",
       "      <td>Bra003511</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td>MSTRG.17356.1</td>\n",
       "      <td>8.324130</td>\n",
       "      <td>1.392840</td>\n",
       "      <td>Bra004009</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>MSTRG.17623.1</td>\n",
       "      <td>9.664810</td>\n",
       "      <td>3.212040</td>\n",
       "      <td>Bra016256</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1442</th>\n",
       "      <td>MSTRG.20836.1</td>\n",
       "      <td>0.881350</td>\n",
       "      <td>3.026110</td>\n",
       "      <td>Bra037845</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1559</th>\n",
       "      <td>MSTRG.2161.1</td>\n",
       "      <td>0.488938</td>\n",
       "      <td>4.038090</td>\n",
       "      <td>Bra021594</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1618</th>\n",
       "      <td>MSTRG.21908.2</td>\n",
       "      <td>8.750650</td>\n",
       "      <td>24.686700</td>\n",
       "      <td>Bra029572</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1796</th>\n",
       "      <td>MSTRG.23036.1</td>\n",
       "      <td>1.047820</td>\n",
       "      <td>4.863770</td>\n",
       "      <td>Bra007504</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2127</th>\n",
       "      <td>MSTRG.25903.1</td>\n",
       "      <td>4.792080</td>\n",
       "      <td>0.861523</td>\n",
       "      <td>Bra009516</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2133</th>\n",
       "      <td>MSTRG.2598.1</td>\n",
       "      <td>7.533520</td>\n",
       "      <td>4.081640</td>\n",
       "      <td>Bra028893</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2687</th>\n",
       "      <td>MSTRG.3577.1</td>\n",
       "      <td>0.925379</td>\n",
       "      <td>3.935190</td>\n",
       "      <td>Bra039752</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2907</th>\n",
       "      <td>MSTRG.4795.1</td>\n",
       "      <td>1.831660</td>\n",
       "      <td>12.197600</td>\n",
       "      <td>Bra029292</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3018</th>\n",
       "      <td>MSTRG.5770.1</td>\n",
       "      <td>0.449534</td>\n",
       "      <td>1.639680</td>\n",
       "      <td>Bra006862</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3028</th>\n",
       "      <td>MSTRG.5884.1</td>\n",
       "      <td>16.778700</td>\n",
       "      <td>1.661290</td>\n",
       "      <td>Bra029099</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3177</th>\n",
       "      <td>MSTRG.7151.1</td>\n",
       "      <td>9.171800</td>\n",
       "      <td>1.944240</td>\n",
       "      <td>Bra001390</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3235</th>\n",
       "      <td>MSTRG.7460.1</td>\n",
       "      <td>5.922270</td>\n",
       "      <td>16.900000</td>\n",
       "      <td>Bra001846</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3346</th>\n",
       "      <td>MSTRG.8355.1</td>\n",
       "      <td>1.448520</td>\n",
       "      <td>4.712470</td>\n",
       "      <td>Bra024126</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             qry_id    value_1    value_2 ref_gene_id  cluster\n",
       "46    MSTRG.10467.1   0.884936   6.039600   Bra004446        1\n",
       "641   MSTRG.15105.1   2.800880   7.263030   Bra025323        1\n",
       "927   MSTRG.17011.1   2.645350   0.290237   Bra003511        1\n",
       "971   MSTRG.17356.1   8.324130   1.392840   Bra004009        0\n",
       "998   MSTRG.17623.1   9.664810   3.212040   Bra016256        0\n",
       "1442  MSTRG.20836.1   0.881350   3.026110   Bra037845        1\n",
       "1559   MSTRG.2161.1   0.488938   4.038090   Bra021594        1\n",
       "1618  MSTRG.21908.2   8.750650  24.686700   Bra029572        2\n",
       "1796  MSTRG.23036.1   1.047820   4.863770   Bra007504        1\n",
       "2127  MSTRG.25903.1   4.792080   0.861523   Bra009516        1\n",
       "2133   MSTRG.2598.1   7.533520   4.081640   Bra028893        0\n",
       "2687   MSTRG.3577.1   0.925379   3.935190   Bra039752        1\n",
       "2907   MSTRG.4795.1   1.831660  12.197600   Bra029292        1\n",
       "3018   MSTRG.5770.1   0.449534   1.639680   Bra006862        1\n",
       "3028   MSTRG.5884.1  16.778700   1.661290   Bra029099        0\n",
       "3177   MSTRG.7151.1   9.171800   1.944240   Bra001390        0\n",
       "3235   MSTRG.7460.1   5.922270  16.900000   Bra001846        2\n",
       "3346   MSTRG.8355.1   1.448520   4.712470   Bra024126        1"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DENAT_match"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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ahASOEEKINtFhAkcptVApVayU2tyq7e9Kqe1KqU1KqeVKKf/m9jilVL1SakPzY77rKhdC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\nkyY5bzEQFETlpk0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UdTXk5GBOTma/xYIdUGVlRkJCgnA4NDt3lpKUZKGpyU5MjIHExJaf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\nB/sUvPyDAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe66202ccc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Try plotting, coloring by cluster, label points\n",
    "plt.scatter(expressionSet_match.value_1, expressionSet_match.value_2,c=expressionSet_match.cluster, marker='.')\n",
    "\n",
    "for index, gene, x, y, cluster in expressionSet_match.itertuples():\n",
    "    plt.annotate(\n",
    "        gene,\n",
    "        xy=(x, y), xytext=(-20, 20),\n",
    "        textcoords='offset points', ha='right', va='bottom',\n",
    "        bbox=dict(boxstyle='round,pad=0.5', fc='yellow', alpha=0.5),\n",
    "        arrowprops=dict(arrowstyle = '->', connectionstyle='arc3,rad=0'))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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4knCayIwZMygoKCA+Pp6uXbsydepUjh5tsnERQgjR6knCaUJt2rThwQcfZNeu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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe66223fb38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Try plotting, coloring by cluster, label points\n",
    "plt.scatter(DENAT_match.value_1, DENAT_match.value_2,c=DENAT_match.cluster, marker='.')\n",
    "\n",
    "for index, qry_id, x, y, ref_gene_id, cluster in DENAT_match.itertuples():\n",
    "    plt.annotate(\n",
    "        ref_gene_id,\n",
    "        xy=(x, y), xytext=(-20, 20),\n",
    "        textcoords='offset points', ha='right', va='bottom',\n",
    "        bbox=dict(boxstyle='round,pad=0.5', fc='yellow', alpha=0.5),\n",
    "        arrowprops=dict(arrowstyle = '->', connectionstyle='arc3,rad=0'))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Let's join the two tables together and see about comparing up/up up/down down/up and down/down\n",
    "# regulatory patterns\n",
    "mergedSet = pd.merge(expressionSet_match, DENAT_match, how='inner', left_on='gene', right_on='ref_gene_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene</th>\n",
       "      <th>value_1_x</th>\n",
       "      <th>value_2_x</th>\n",
       "      <th>cluster_x</th>\n",
       "      <th>qry_id</th>\n",
       "      <th>value_1_y</th>\n",
       "      <th>value_2_y</th>\n",
       "      <th>ref_gene_id</th>\n",
       "      <th>cluster_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bra004446</td>\n",
       "      <td>0.89278</td>\n",
       "      <td>2.930110</td>\n",
       "      <td>0</td>\n",
       "      <td>MSTRG.10467.1</td>\n",
       "      <td>0.884936</td>\n",
       "      <td>6.039600</td>\n",
       "      <td>Bra004446</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bra025323</td>\n",
       "      <td>7.78977</td>\n",
       "      <td>19.671500</td>\n",
       "      <td>0</td>\n",
       "      <td>MSTRG.15105.1</td>\n",
       "      <td>2.800880</td>\n",
       "      <td>7.263030</td>\n",
       "      <td>Bra025323</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bra003511</td>\n",
       "      <td>4.47764</td>\n",
       "      <td>0.310284</td>\n",
       "      <td>0</td>\n",
       "      <td>MSTRG.17011.1</td>\n",
       "      <td>2.645350</td>\n",
       "      <td>0.290237</td>\n",
       "      <td>Bra003511</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bra004009</td>\n",
       "      <td>34.78040</td>\n",
       "      <td>9.353070</td>\n",
       "      <td>0</td>\n",
       "      <td>MSTRG.17356.1</td>\n",
       "      <td>8.324130</td>\n",
       "      <td>1.392840</td>\n",
       "      <td>Bra004009</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bra016256</td>\n",
       "      <td>41.95890</td>\n",
       "      <td>10.070200</td>\n",
       "      <td>0</td>\n",
       "      <td>MSTRG.17623.1</td>\n",
       "      <td>9.664810</td>\n",
       "      <td>3.212040</td>\n",
       "      <td>Bra016256</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Bra037845</td>\n",
       "      <td>2.56710</td>\n",
       "      <td>26.685900</td>\n",
       "      <td>0</td>\n",
       "      <td>MSTRG.20836.1</td>\n",
       "      <td>0.881350</td>\n",
       "      <td>3.026110</td>\n",
       "      <td>Bra037845</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Bra021594</td>\n",
       "      <td>18.91030</td>\n",
       "      <td>69.478600</td>\n",
       "      <td>2</td>\n",
       "      <td>MSTRG.2161.1</td>\n",
       "      <td>0.488938</td>\n",
       "      <td>4.038090</td>\n",
       "      <td>Bra021594</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Bra029572</td>\n",
       "      <td>7.07153</td>\n",
       "      <td>0.934367</td>\n",
       "      <td>0</td>\n",
       "      <td>MSTRG.21908.2</td>\n",
       "      <td>8.750650</td>\n",
       "      <td>24.686700</td>\n",
       "      <td>Bra029572</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Bra007504</td>\n",
       "      <td>4.02342</td>\n",
       "      <td>10.182700</td>\n",
       "      <td>0</td>\n",
       "      <td>MSTRG.23036.1</td>\n",
       "      <td>1.047820</td>\n",
       "      <td>4.863770</td>\n",
       "      <td>Bra007504</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Bra009516</td>\n",
       "      <td>9.37201</td>\n",
       "      <td>3.506510</td>\n",
       "      <td>0</td>\n",
       "      <td>MSTRG.25903.1</td>\n",
       "      <td>4.792080</td>\n",
       "      <td>0.861523</td>\n",
       "      <td>Bra009516</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Bra028893</td>\n",
       "      <td>14.69010</td>\n",
       "      <td>1.710950</td>\n",
       "      <td>0</td>\n",
       "      <td>MSTRG.2598.1</td>\n",
       "      <td>7.533520</td>\n",
       "      <td>4.081640</td>\n",
       "      <td>Bra028893</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Bra039752</td>\n",
       "      <td>7.26386</td>\n",
       "      <td>11.979500</td>\n",
       "      <td>0</td>\n",
       "      <td>MSTRG.3577.1</td>\n",
       "      <td>0.925379</td>\n",
       "      <td>3.935190</td>\n",
       "      <td>Bra039752</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Bra029292</td>\n",
       "      <td>1.35222</td>\n",
       "      <td>58.719500</td>\n",
       "      <td>2</td>\n",
       "      <td>MSTRG.4795.1</td>\n",
       "      <td>1.831660</td>\n",
       "      <td>12.197600</td>\n",
       "      <td>Bra029292</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Bra006862</td>\n",
       "      <td>1.08358</td>\n",
       "      <td>2.251020</td>\n",
       "      <td>0</td>\n",
       "      <td>MSTRG.5770.1</td>\n",
       "      <td>0.449534</td>\n",
       "      <td>1.639680</td>\n",
       "      <td>Bra006862</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Bra029099</td>\n",
       "      <td>11.87450</td>\n",
       "      <td>5.020040</td>\n",
       "      <td>0</td>\n",
       "      <td>MSTRG.5884.1</td>\n",
       "      <td>16.778700</td>\n",
       "      <td>1.661290</td>\n",
       "      <td>Bra029099</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Bra001390</td>\n",
       "      <td>44.60920</td>\n",
       "      <td>7.398270</td>\n",
       "      <td>0</td>\n",
       "      <td>MSTRG.7151.1</td>\n",
       "      <td>9.171800</td>\n",
       "      <td>1.944240</td>\n",
       "      <td>Bra001390</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Bra001846</td>\n",
       "      <td>31.46010</td>\n",
       "      <td>6.805600</td>\n",
       "      <td>0</td>\n",
       "      <td>MSTRG.7460.1</td>\n",
       "      <td>5.922270</td>\n",
       "      <td>16.900000</td>\n",
       "      <td>Bra001846</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Bra024126</td>\n",
       "      <td>43.12120</td>\n",
       "      <td>197.363000</td>\n",
       "      <td>1</td>\n",
       "      <td>MSTRG.8355.1</td>\n",
       "      <td>1.448520</td>\n",
       "      <td>4.712470</td>\n",
       "      <td>Bra024126</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         gene  value_1_x   value_2_x  cluster_x         qry_id  value_1_y  \\\n",
       "0   Bra004446    0.89278    2.930110          0  MSTRG.10467.1   0.884936   \n",
       "1   Bra025323    7.78977   19.671500          0  MSTRG.15105.1   2.800880   \n",
       "2   Bra003511    4.47764    0.310284          0  MSTRG.17011.1   2.645350   \n",
       "3   Bra004009   34.78040    9.353070          0  MSTRG.17356.1   8.324130   \n",
       "4   Bra016256   41.95890   10.070200          0  MSTRG.17623.1   9.664810   \n",
       "5   Bra037845    2.56710   26.685900          0  MSTRG.20836.1   0.881350   \n",
       "6   Bra021594   18.91030   69.478600          2   MSTRG.2161.1   0.488938   \n",
       "7   Bra029572    7.07153    0.934367          0  MSTRG.21908.2   8.750650   \n",
       "8   Bra007504    4.02342   10.182700          0  MSTRG.23036.1   1.047820   \n",
       "9   Bra009516    9.37201    3.506510          0  MSTRG.25903.1   4.792080   \n",
       "10  Bra028893   14.69010    1.710950          0   MSTRG.2598.1   7.533520   \n",
       "11  Bra039752    7.26386   11.979500          0   MSTRG.3577.1   0.925379   \n",
       "12  Bra029292    1.35222   58.719500          2   MSTRG.4795.1   1.831660   \n",
       "13  Bra006862    1.08358    2.251020          0   MSTRG.5770.1   0.449534   \n",
       "14  Bra029099   11.87450    5.020040          0   MSTRG.5884.1  16.778700   \n",
       "15  Bra001390   44.60920    7.398270          0   MSTRG.7151.1   9.171800   \n",
       "16  Bra001846   31.46010    6.805600          0   MSTRG.7460.1   5.922270   \n",
       "17  Bra024126   43.12120  197.363000          1   MSTRG.8355.1   1.448520   \n",
       "\n",
       "    value_2_y ref_gene_id  cluster_y  \n",
       "0    6.039600   Bra004446          1  \n",
       "1    7.263030   Bra025323          1  \n",
       "2    0.290237   Bra003511          1  \n",
       "3    1.392840   Bra004009          0  \n",
       "4    3.212040   Bra016256          0  \n",
       "5    3.026110   Bra037845          1  \n",
       "6    4.038090   Bra021594          1  \n",
       "7   24.686700   Bra029572          2  \n",
       "8    4.863770   Bra007504          1  \n",
       "9    0.861523   Bra009516          1  \n",
       "10   4.081640   Bra028893          0  \n",
       "11   3.935190   Bra039752          1  \n",
       "12  12.197600   Bra029292          1  \n",
       "13   1.639680   Bra006862          1  \n",
       "14   1.661290   Bra029099          0  \n",
       "15   1.944240   Bra001390          0  \n",
       "16  16.900000   Bra001846          2  \n",
       "17   4.712470   Bra024126          1  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mergedSet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "mergedSet=mergedSet.drop(['cluster_x','cluster_y'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene</th>\n",
       "      <th>value_1_x</th>\n",
       "      <th>value_2_x</th>\n",
       "      <th>qry_id</th>\n",
       "      <th>value_1_y</th>\n",
       "      <th>value_2_y</th>\n",
       "      <th>ref_gene_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bra004446</td>\n",
       "      <td>0.89278</td>\n",
       "      <td>2.930110</td>\n",
       "      <td>MSTRG.10467.1</td>\n",
       "      <td>0.884936</td>\n",
       "      <td>6.039600</td>\n",
       "      <td>Bra004446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bra025323</td>\n",
       "      <td>7.78977</td>\n",
       "      <td>19.671500</td>\n",
       "      <td>MSTRG.15105.1</td>\n",
       "      <td>2.800880</td>\n",
       "      <td>7.263030</td>\n",
       "      <td>Bra025323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bra003511</td>\n",
       "      <td>4.47764</td>\n",
       "      <td>0.310284</td>\n",
       "      <td>MSTRG.17011.1</td>\n",
       "      <td>2.645350</td>\n",
       "      <td>0.290237</td>\n",
       "      <td>Bra003511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bra004009</td>\n",
       "      <td>34.78040</td>\n",
       "      <td>9.353070</td>\n",
       "      <td>MSTRG.17356.1</td>\n",
       "      <td>8.324130</td>\n",
       "      <td>1.392840</td>\n",
       "      <td>Bra004009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bra016256</td>\n",
       "      <td>41.95890</td>\n",
       "      <td>10.070200</td>\n",
       "      <td>MSTRG.17623.1</td>\n",
       "      <td>9.664810</td>\n",
       "      <td>3.212040</td>\n",
       "      <td>Bra016256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Bra037845</td>\n",
       "      <td>2.56710</td>\n",
       "      <td>26.685900</td>\n",
       "      <td>MSTRG.20836.1</td>\n",
       "      <td>0.881350</td>\n",
       "      <td>3.026110</td>\n",
       "      <td>Bra037845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Bra021594</td>\n",
       "      <td>18.91030</td>\n",
       "      <td>69.478600</td>\n",
       "      <td>MSTRG.2161.1</td>\n",
       "      <td>0.488938</td>\n",
       "      <td>4.038090</td>\n",
       "      <td>Bra021594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Bra029572</td>\n",
       "      <td>7.07153</td>\n",
       "      <td>0.934367</td>\n",
       "      <td>MSTRG.21908.2</td>\n",
       "      <td>8.750650</td>\n",
       "      <td>24.686700</td>\n",
       "      <td>Bra029572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Bra007504</td>\n",
       "      <td>4.02342</td>\n",
       "      <td>10.182700</td>\n",
       "      <td>MSTRG.23036.1</td>\n",
       "      <td>1.047820</td>\n",
       "      <td>4.863770</td>\n",
       "      <td>Bra007504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Bra009516</td>\n",
       "      <td>9.37201</td>\n",
       "      <td>3.506510</td>\n",
       "      <td>MSTRG.25903.1</td>\n",
       "      <td>4.792080</td>\n",
       "      <td>0.861523</td>\n",
       "      <td>Bra009516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Bra028893</td>\n",
       "      <td>14.69010</td>\n",
       "      <td>1.710950</td>\n",
       "      <td>MSTRG.2598.1</td>\n",
       "      <td>7.533520</td>\n",
       "      <td>4.081640</td>\n",
       "      <td>Bra028893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Bra039752</td>\n",
       "      <td>7.26386</td>\n",
       "      <td>11.979500</td>\n",
       "      <td>MSTRG.3577.1</td>\n",
       "      <td>0.925379</td>\n",
       "      <td>3.935190</td>\n",
       "      <td>Bra039752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Bra029292</td>\n",
       "      <td>1.35222</td>\n",
       "      <td>58.719500</td>\n",
       "      <td>MSTRG.4795.1</td>\n",
       "      <td>1.831660</td>\n",
       "      <td>12.197600</td>\n",
       "      <td>Bra029292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Bra006862</td>\n",
       "      <td>1.08358</td>\n",
       "      <td>2.251020</td>\n",
       "      <td>MSTRG.5770.1</td>\n",
       "      <td>0.449534</td>\n",
       "      <td>1.639680</td>\n",
       "      <td>Bra006862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Bra029099</td>\n",
       "      <td>11.87450</td>\n",
       "      <td>5.020040</td>\n",
       "      <td>MSTRG.5884.1</td>\n",
       "      <td>16.778700</td>\n",
       "      <td>1.661290</td>\n",
       "      <td>Bra029099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Bra001390</td>\n",
       "      <td>44.60920</td>\n",
       "      <td>7.398270</td>\n",
       "      <td>MSTRG.7151.1</td>\n",
       "      <td>9.171800</td>\n",
       "      <td>1.944240</td>\n",
       "      <td>Bra001390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Bra001846</td>\n",
       "      <td>31.46010</td>\n",
       "      <td>6.805600</td>\n",
       "      <td>MSTRG.7460.1</td>\n",
       "      <td>5.922270</td>\n",
       "      <td>16.900000</td>\n",
       "      <td>Bra001846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Bra024126</td>\n",
       "      <td>43.12120</td>\n",
       "      <td>197.363000</td>\n",
       "      <td>MSTRG.8355.1</td>\n",
       "      <td>1.448520</td>\n",
       "      <td>4.712470</td>\n",
       "      <td>Bra024126</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         gene  value_1_x   value_2_x         qry_id  value_1_y  value_2_y  \\\n",
       "0   Bra004446    0.89278    2.930110  MSTRG.10467.1   0.884936   6.039600   \n",
       "1   Bra025323    7.78977   19.671500  MSTRG.15105.1   2.800880   7.263030   \n",
       "2   Bra003511    4.47764    0.310284  MSTRG.17011.1   2.645350   0.290237   \n",
       "3   Bra004009   34.78040    9.353070  MSTRG.17356.1   8.324130   1.392840   \n",
       "4   Bra016256   41.95890   10.070200  MSTRG.17623.1   9.664810   3.212040   \n",
       "5   Bra037845    2.56710   26.685900  MSTRG.20836.1   0.881350   3.026110   \n",
       "6   Bra021594   18.91030   69.478600   MSTRG.2161.1   0.488938   4.038090   \n",
       "7   Bra029572    7.07153    0.934367  MSTRG.21908.2   8.750650  24.686700   \n",
       "8   Bra007504    4.02342   10.182700  MSTRG.23036.1   1.047820   4.863770   \n",
       "9   Bra009516    9.37201    3.506510  MSTRG.25903.1   4.792080   0.861523   \n",
       "10  Bra028893   14.69010    1.710950   MSTRG.2598.1   7.533520   4.081640   \n",
       "11  Bra039752    7.26386   11.979500   MSTRG.3577.1   0.925379   3.935190   \n",
       "12  Bra029292    1.35222   58.719500   MSTRG.4795.1   1.831660  12.197600   \n",
       "13  Bra006862    1.08358    2.251020   MSTRG.5770.1   0.449534   1.639680   \n",
       "14  Bra029099   11.87450    5.020040   MSTRG.5884.1  16.778700   1.661290   \n",
       "15  Bra001390   44.60920    7.398270   MSTRG.7151.1   9.171800   1.944240   \n",
       "16  Bra001846   31.46010    6.805600   MSTRG.7460.1   5.922270  16.900000   \n",
       "17  Bra024126   43.12120  197.363000   MSTRG.8355.1   1.448520   4.712470   \n",
       "\n",
       "   ref_gene_id  \n",
       "0    Bra004446  \n",
       "1    Bra025323  \n",
       "2    Bra003511  \n",
       "3    Bra004009  \n",
       "4    Bra016256  \n",
       "5    Bra037845  \n",
       "6    Bra021594  \n",
       "7    Bra029572  \n",
       "8    Bra007504  \n",
       "9    Bra009516  \n",
       "10   Bra028893  \n",
       "11   Bra039752  \n",
       "12   Bra029292  \n",
       "13   Bra006862  \n",
       "14   Bra029099  \n",
       "15   Bra001390  \n",
       "16   Bra001846  \n",
       "17   Bra024126  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mergedSet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe662051e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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EPCBpaFcLMzOzxqjliGCBpF0rA/kDZgtWYp0nSno8dx19eCWWY2Zm3aCWIPga8DNJL0h6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\nxDzft4A5wL/VslH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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe662051b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe661e00eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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LTAM2Bh4DDoqIlg7UdhPnjqQmdwCPAkeX9Ru3hKQdgD8B9wDLcvF3SP3vbVOn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\nrOCcCMzMCs6JwMys4P4PBqghULw2UCYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe6621986d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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qoQeAN0raKQ+vaHitzMysadoNAkkTIuJGSR+tKgcgIq5ocN3MzKwJah0R7JCfd2xGRczM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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe6625a7e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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AzKzknAjMzErOicDMrOScCMzMSs6JwMys5JwIzMxKzonAzKzknAjMzErOicDMrOScCMzM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\ntJQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe662585940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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RjPVbUcwBZpThGVTt8H1BkoAvAzfZPqNpUj/HPEnSxDK8PlWfxs30ccy2T7S9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\nUXP/HyYCgzzdzLWnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe6625a34a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Iu/O4Hdl55co0M7NGqeeI4FLgWGAmsLyx5ZiZWbPVEwQvRcQtDa/EzMxaop4gmCrpv4Hr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\n98A1+f6VpDf+ihs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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe6625efba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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oReDDdbrv/SMwRtKmVeP2AGZHRL3O3n4UEdtVvXrVgV3uWK7XIuLKiOg31+7b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\nmVnJORGYmZWcE4GZWck5EZiZldz/BwCS9g8zbbkbAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe661cf75f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe661d9f9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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IiIhakjAiIqKWJIyIiKglCSMiImpJwoiIiFqSMCIiopYkjIiIqCUJIyIiaknCiIiIWpZ6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\nERERtSRhRERELUkYERFRy/8H36ti2Mp1vJMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe6622f4390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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1+rbfzO7lRNDTXVGULH0icLPto7odTyPbR9jewPYUquP2C9s9c1Vr+wHgHklb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\nRETNJRFERNRcEkFERM0lEURE1Nz/B4cil7p76NI1AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe66223b9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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IzMxKzonAzKzknAjMzErOicDMrOScCMzMSs6JwMys5Pr1NoGkXYExwMZ5egEREe9obGhm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\nqQRKRJ4EbQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe66255bd30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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TnvZDYEtJBwDnA8dGxEt53tbArsB7gFOqmom2JY2//2ZJbwUOAXbIg4stAQ4H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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe662671e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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tFTcf3AiYURifCexYos5GwHOVM5M0jrQXAvC6pId7L9ReMxB4odVBVNGucUH7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\nKU4YZmZWihOGmZmV8v8BGpZioTygowQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe662650eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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vByk9K3gj0s0A7+hiEzOB90t6Q97ehpI2zwPba0TEVcDJwE6S1gA2i4ibgM8B\nI4H16rb3O1aOeRxOGhA3G1ADcpaDWRt9Gzi2WhAR90p6FpgdEc92vRqQxgiOqEwfDJwCfC8i/lvS\n0cBNkn6d599D6hIaDfyfiHhM0lZ1n/1nSScD/5V39C8C/w4sA36UywA+T7pz6CU5+Qg4OyIWpTtu\nv+JTeb3/ABYCH2mkUsz6wncfNWuApKnA0oj4VrtjMRto7hoyMyucWwRmZoVzi8DMrHBOBGZmhXMi\nMDMrnBOBmVnhnAjMzAr3P91pfoFf+wNMAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe661d94710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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sMDqwznMn4KXAwxFxXtWsjq7vRnF3ep1LGippcH69AenEk0fo/PquG3eR9d2x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\nyD6bh/9eAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe6623d1d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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m1nzt1vVkZmZtxonCzMxK9dlEsUZDffQSSVtLulXSw5IekvSZXD5O0hxJU/Pj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\nE4WZmZVyojAzs1L/D5nDhlHo8bTfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe66232f940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for index, gene, g_value1, g_value2, nat, n_value1, n_value2, ref_g in mergedSet.itertuples():\n",
    "    plt.scatter([g_value1, n_value1],[g_value2, n_value2], c=['blue', 'red'])\n",
    "    #plt.annotate(\n",
    "    #    gene,\n",
    "    #    xy=(g_value1, g_value2), xytext=(-20, 20),\n",
    "    #    textcoords='offset points', ha='right', va='bottom',\n",
    "    #    bbox=dict(boxstyle='round,pad=0.5', fc='yellow', alpha=0.5),\n",
    "    #    arrowprops=dict(arrowstyle = '->', connectionstyle='arc3,rad=0'))\n",
    "    #plt.annotate(\n",
    "    #    nat,\n",
    "    #    xy=(n_value1, n_value2), xytext=(-20, 20),\n",
    "    #    textcoords='offset points', ha='right', va='bottom',\n",
    "    #    bbox=dict(boxstyle='round,pad=0.5', fc='yellow', alpha=0.5),\n",
    "    #    arrowprops=dict(arrowstyle = '->', connectionstyle='arc3,rad=0'))\n",
    "    plt.title('{} Gene-NAT Expression Plot'.format(gene))\n",
    "    plt.xlabel('NV Expression')\n",
    "    plt.ylabel('4V Expression')\n",
    "    plt.xlim(0, max([g_value1, g_value2, n_value1, n_value2])+5)\n",
    "    plt.ylim(0, max([g_value1, g_value2, n_value1, n_value2])+5)\n",
    "    #plt.xlim(0, 200)\n",
    "    #plt.ylim(0, 200)\n",
    "    plt.savefig('{}.png'.format(gene),dpi=300)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}