This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see SRGnet.
Bioconductor version: 3.11
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 (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("SRGnet")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SRGnet")
HTML | SRGnet An R package for studying synergistic response to gene mutations from transcriptomics data \ | |
Reference Manual |
biocViews | Regression, Software, StatisticalMethod |
Version | 1.14.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (4 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 |
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Suggests | knitr, rmarkdown |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | SRGnet_1.14.0.tar.gz |
Windows Binary | SRGnet_1.14.0.zip |
macOS 10.13 (High Sierra) | SRGnet_1.14.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SRGnet |
Source Repository (Developer Access) | git clone [email protected]:packages/SRGnet |
Package Short Url | https://bioconductor.org/packages/SRGnet/ |
Package Downloads Report | Download Stats |
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