SRGnet: SRGnet An R package for studying synergistic response genes from transcriptomics data

We developed SRMnet 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.

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("SRGnet")
AuthorIsar Nassiri [aut, cre], Matthew McCall [aut, cre]
Bioconductor views Regression Software StatisticalMethod
Date of publicationNone
MaintainerIsar Nassiri <isar_nassiri@urmc.rochester.edu>
LicenseGPL-2
Version1.0.0

View on Bioconductor

Files

DESCRIPTION
NAMESPACE
R
R/Differentially_expressed_genes.R R/PLCRG.R R/SRGnet_function.R R/Transcriptomics.R
build
build/vignette.rds
data
data/Differentially_expressed_genes.rda
data/PLCRG.rda
data/Transcriptomics.rda
inst
inst/doc
inst/doc/vignette.Rmd
inst/doc/vignette.html
man
man/Differentially_expressed_genes.Rd man/PLCRG.Rd man/SRG.Rd man/SRGnet.Rd man/Transcriptomics.Rd
vignettes
vignettes/vignette.Rmd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.