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GSRI

This is the released version of GSRI; for the devel version, see GSRI.

All Bioconductor versions of GSRI

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6

Gene Set Regulation Index

Bioconductor version: 3.23 · Package version: 2.60.0

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>

DOI: 10.18129/B9.bioc.GSRI

Citation

From within R, enter citation("GSRI"):

Julian Gehring, Kilian Bartholome, Clemens Kreutz, Jens Timmer. GSRI: Gene Set Regulation Index. doi:10.18129/B9.bioc.GSRI, R package version 2.60.0, https://bioconductor.org/packages/GSRI.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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.

Details

Version2.60.0
LicenseGPL-3
Last updated2026-04-28
In Bioconductor sinceBioC 2.6 (R-2.11) (16 years)
Downloads rank807 of 2,418
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsDifferentialExpression, GeneRegulation, GeneSetEnrichment, Microarray, Software, Transcription
Package Short Url https://bioconductor.org/packages/GSRI/

Documentation

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

browseVignettes("GSRI")
Introduction to the GSRI package: Estimating Regulatory Effects utilizing the Gene Set Regulation Index PDF R Script
Reference ManualPDF
NEWSText

Download

Follow the installation instructions to use this package in your R session.

Source packageGSRI_2.60.0.tar.gz
Windows binary (x86_64)GSRI_2.60.0.zip
macOS binary (arm64)GSRI_2.60.0.tgz
macOS binary (x86_64)GSRI_2.60.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/GSRI
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/GSRI
Package Downloads ReportDownload Stats
Dependencies

Depends: R (>= 2.14.2), fdrtool

Imports: methods, graphics, stats, utils, genefilter, Biobase, GSEABase, les (>= 1.1.6)

Suggests: limma, hgu95av2.db

Enhances: parallel