GSRI
Gene Set Regulation Index
Bioconductor version: Release (3.19)
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 | 2.52.0 | 
| 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_2.52.0.tar.gz | 
| Windows Binary (x86_64) | GSRI_2.52.0.zip | 
| macOS Binary (x86_64) | GSRI_2.52.0.tgz | 
| macOS Binary (arm64) | GSRI_2.52.0.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 |