millerh1/correlationAnalyzeR: Generate Novel Insights from Gene Correlation Data

Correlation AnalyzeR is a powerful tool for understanding how genes relate to eachother based on the world's largest repository of standardized RNA-Seq data, ARCHS4 [https://amp.pharm.mssm.edu/archs4/index.html]. In 'single-gene' mode, correlation data for genes of interest are used to return correlated pathways by GSEA.In 'Gene vs gene' mode, the differences between two genes of interest are elucidated based on their co-expression correlations. In 'Gene vs gene list' mode, a user can examine how a primary gene of interest correlates with a defined list of other genes. Finally, 'Topology' mode examines correlation data for a defined gene group to generate a robust gene-level topology.

Getting started

Package details

Maintainer
LicenseGPL-3
Version1.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("millerh1/correlationAnalyzeR")
millerh1/correlationAnalyzeR documentation built on Nov. 7, 2019, 5:38 a.m.