GSRI

DOI: 10.18129/B9.bioc.GSRI  

Gene Set Regulation Index

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")):

Installation

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.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GSRI")

 

PDF R Script Introduction to the GSRI package: Estimating Regulatory Effects utilizing the Gene Set Regulation Index
PDF   Reference Manual
Text   NEWS

Details

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  

Package Archives

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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