To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("SRGnet")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
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 urmc.rochester.edu>
Citation (from within R,
enter citation("SRGnet")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("SRGnet")
HTML | SRGnet An R package for studying synergistic response to gene mutations from transcriptomics data \ | |
Reference Manual |
biocViews | Regression, Software, StatisticalMethod |
Version | 1.2.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (1 year) |
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 |
Imports | |
LinkingTo | |
Suggests | knitr, rmarkdown |
SystemRequirements | |
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Imports Me | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | SRGnet_1.2.0.tar.gz |
Windows Binary | SRGnet_1.2.0.zip |
Mac OS X 10.11 (El Capitan) | SRGnet_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SRGnet |
Package Short Url | http://bioconductor.org/packages/SRGnet/ |
Package Downloads Report | Download Stats |
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