Bioconductor-mirror/SRGnet: SRGnet: An R package for studying synergistic response to gene mutations from transcriptomics data from transcriptomics data
Version 1.3.0

We developed SRGnet to analyze synergistic regulatory mechanisms in transcriptome profiles that act to enhance the overall cell response to combination of mutations, drugs or environmental exposure. This package can be used to identify regulatory modules downstream of synergistic response genes, prioritize synergistic regulatory genes that may be potential intervention targets, and contextualize gene perturbation experiments.

Getting started

Package details

AuthorIsar Nassiri [aut, cre], Matthew McCall [aut, cre]
Bioconductor views Regression Software StatisticalMethod
MaintainerIsar Nassiri <[email protected]>
LicenseGPL-2
Version1.3.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/SRGnet")
Bioconductor-mirror/SRGnet documentation built on June 1, 2017, 2:14 a.m.