Package: SRGnet
Title: SRGnet: An R package for studying synergistic response to gene
        mutations from transcriptomics data
Version: 1.12.0
Authors@R: c(person("Isar", "Nassiri", email = "isar_nassiri@urmc.rochester.edu", role = c("aut", "cre")))
Description: 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.
Depends: R (>= 3.3.1), EBcoexpress, MASS, igraph, pvclust (>= 2.0-0),
        gbm (>= 2.1.1), limma, DMwR (>= 0.4.1), matrixStats, Hmisc
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1.9000
biocViews: Software, StatisticalMethod, Regression
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Author: Isar Nassiri [aut, cre], Matthew McCall [aut, cre]
Maintainer: Isar Nassiri <isar_nassiri@urmc.rochester.edu>
git_url: https://git.bioconductor.org/packages/SRGnet
git_branch: RELEASE_3_10
git_last_commit: 7fc03d2
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
Packaged: 2019-10-30 03:32:38 UTC; biocbuild
Built: R 3.6.1; ; 2019-10-30 14:16:38 UTC; windows
