DOI: 10.18129/B9.bioc.SRGnet    

SRGnet: An R package for studying synergistic response to gene mutations from transcriptomics data from transcriptomics data

Bioconductor version: Release (3.7)

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.

Author: Isar Nassiri [aut, cre], Matthew McCall [aut, cre]

Maintainer: Isar Nassiri <isar_nassiri at>

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biocViews Regression, Software, StatisticalMethod
Version 1.6.0
In Bioconductor since BioC 3.4 (R-3.3) (1.5 years)
License GPL-2
Depends R (>= 3.3.1), EBcoexpress, MASS, igraph, pvclust (>= 2.0-0), gbm (>= 2.1.1), limma, DMwR (>= 0.4.1), matrixStats, Hmisc
Suggests knitr, rmarkdown
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