Bioconductor Developer Survey 2026 Now Open!

GSRI

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

All versions 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: Release (3.23)

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")):

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.

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

Details

biocViews DifferentialExpression, GeneRegulation, GeneSetEnrichment, Microarray, Software, Transcription
Version2.60.0
In Bioconductor sinceBioC 2.6 (R-2.11) (16.5 years)
License GPL-3
Depends R (>= 2.14.2), fdrtool
Imports methods, graphics, stats, utils, genefilter, Biobase, GSEABase, les (>= 1.1.6)
System Requirements
URL
See More
Suggests limma, hgu95av2.db
Linking To
Enhances parallel
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GSRI_2.60.0.tar.gz
Windows Binary (x86_64) GSRI_2.60.0.zip
macOS Binary (big-sur-x86_64) GSRI_2.60.0.tgz
macOS Binary (sonoma-arm64) 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 Short Url https://bioconductor.org/packages/GSRI/
Package Downloads ReportDownload Stats