Materials on the analysis of microarray expression data; focus on re-analysis of public data ( http://tinyurl.com/cruk-microarray)
-
Updated
Feb 21, 2017 - HTML
Materials on the analysis of microarray expression data; focus on re-analysis of public data ( http://tinyurl.com/cruk-microarray)
Deep learning methods for feature selection in gene expression autism data.
NOWAC data cleaning package
Transform, query, and merge tabular files with the expressionable Python module. This tool is used primarily for gene-expression data.
Scripts using GEOquery package to fetch expression matrices and phenotypic data associated with GSE datasets
Generating expression signatures for disease using STARGEO
pmadsim — Prospective Microarray Data Simulation. This is a fork of the madsim R package.
Tumor prediction from microarray data using 10 machine learning classifiers. Feature extraction from microarray data using various feature extraction algorithms.
A structural equation modeling approach for the identification of gene expression adaptation in breast cancer patients at grade specific level
protGear is a package for protein microarray data processing just before the main analysis.
Bioinformatics course project - Fall 2020, analysis of genetic expression omnibus (GEO) data series of Acute Myeloid Leukemia
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.
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
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…
Collection of gene expression datasets
Differential Gene Analysis of Telomere Microarray Data
EXIS is an interactive R shiny application for isoform-specific expression analysis.
An Efficeint and Fast Wrapper-based High-dimensional Feature Selection(SIFE) in MATLAB
MicAff is a genomic data analysis tool. Application made with Shiny. It is used to analyze the data from the microarray experiment. Running on a local server, it allows you to load CEL data, their initial processing and further analysis.
Add a description, image, and links to the microarray-data topic page so that developers can more easily learn about it.
To associate your repository with the microarray-data topic, visit your repo's landing page and select "manage topics."