GSRI
This is the released version of GSRI; for the devel version, see GSRI.
Gene Set Regulation Index
Bioconductor version: Release (3.20)
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 "4.4") 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 | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DifferentialExpression, GeneRegulation, GeneSetEnrichment, Microarray, Software, Transcription |
| Version | 2.54.0 |
| In Bioconductor since | BioC 2.6 (R-2.11) (14.5 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 |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | GSRI_2.54.0.tar.gz |
| Windows Binary (x86_64) | GSRI_2.54.0.zip (64-bit only) |
| macOS Binary (x86_64) | GSRI_2.54.0.tgz |
| macOS Binary (arm64) | GSRI_2.54.0.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 |