Bioconductor version: Release (3.16)
The GSRI package estimates the number of differentially expressed genes in gene sets, utilizing the concept of the Gene Set Regulation Index (GSRI).
Author: Julian Gehring, Kilian Bartholome, Clemens Kreutz, Jens Timmer
Maintainer: Julian Gehring <jg-bioc at gmx.com>
Citation (from within R,
enter citation("GSRI")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("GSRI")
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("GSRI")
R Script | Introduction to the GSRI package: Estimating Regulatory Effects utilizing the Gene Set Regulation Index | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, GeneRegulation, GeneSetEnrichment, Microarray, Software, Transcription |
Version | 2.46.0 |
In Bioconductor since | BioC 2.6 (R-2.11) (13 years) |
License | GPL-3 |
Depends | R (>= 2.14.2), fdrtool |
Imports | methods, graphics, stats, utils, genefilter, Biobase, GSEABase, les(>= 1.1.6) |
LinkingTo | |
Suggests | limma, hgu95av2.db |
SystemRequirements | |
Enhances | parallel |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | GSRI_2.46.0.tar.gz |
Windows Binary | GSRI_2.46.0.zip (64-bit only) |
macOS Binary (x86_64) | GSRI_2.46.0.tgz |
macOS Binary (arm64) | GSRI_2.46.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GSRI |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/GSRI |
Bioc Package Browser | https://code.bioconductor.org/browse/GSRI/ |
Package Short Url | https://bioconductor.org/packages/GSRI/ |
Package Downloads Report | Download Stats |
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