microarray-data
Here are 35 public repositories matching this topic...
Discriminant Analysis with Network PROcessing
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Dec 21, 2023 - Python
Collection of gene expression datasets
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Oct 1, 2023
A python library to develop genomic data simulators
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Aug 29, 2023 - Python
My solutions for the project of "An Intro to Bioinformatics" - Sharif University of Technology (SUT) - Prof. Somayyeh Koohi and Prof. Ali Sharifi-Zarchi - Fall 2021(1400-1).
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Jul 6, 2023 - R
An Efficeint and Fast Wrapper-based High-dimensional Feature Selection(SIFE) in MATLAB
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Jun 14, 2023 - MATLAB
protGear is a package for protein microarray data processing just before the main analysis.
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Feb 3, 2023 - R
This R script is used to analyze microarray data acquired by an Agilent SureScan Microarray Scanner.
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Jan 13, 2023 - R
A pipeline to analyze DNA microarrays by Agilent.
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Aug 4, 2022 - R
Selection of genes to be cultured and studied on-board for the AcubeSAT nanosatellite project. Microarray data analysis in R. Meta-analysis in R. Literature review and more
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Jul 5, 2022 - HTML
Selection of genes to be cultured and studied on-board for the AcubeSAT nanosatellite project. Microarray data analysis in R. Meta-analysis in R. Literature review and more
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Jul 3, 2022 - HTML
Deep learning methods for feature selection in gene expression autism data.
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Jun 21, 2022 - Jupyter Notebook
differential expression analysis using R 🧬
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Mar 16, 2022 - R
Code for the future "Classification of microarray data" paper.
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Jul 24, 2021 - Jupyter Notebook
EXIS is an interactive R shiny application for isoform-specific expression analysis.
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Jul 8, 2021 - R
Bioinformatics course project - Fall 2020, analysis of genetic expression omnibus (GEO) data series of Acute Myeloid Leukemia
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May 27, 2021 - Python
Use Deep Learning Methods to analyze gene based microarray data to make classifcations on diseases, especially cancers, where the model is going to identify cancer stages for different cancers.
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May 2, 2021 - Python
A visualization support tool for advanced hierarchical clustering analysis. MLCut allows cutting dendrograms at multiple heights/levels. In other words, it allows to set multiple local similarity thresholds in potentially large dendrograms. It uses two coordinated views, one for the dentrogram (radial layout), and another for the original multid…
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Apr 21, 2021 - JavaScript
Differential Gene Analysis of Telomere Microarray Data
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Mar 5, 2021 - R
Tumor prediction from microarray data using 10 machine learning classifiers. Feature extraction from microarray data using various feature extraction algorithms.
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Dec 21, 2020 - Python
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