GSRI
This is the development version of GSRI; for the stable release version, see GSRI.
Gene Set Regulation Index
Bioconductor version: Development (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("GSRI")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
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 | 2.53.0 |
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_2.53.0.tar.gz |
Windows Binary | GSRI_2.53.0.zip |
macOS Binary (x86_64) | GSRI_2.53.0.tgz |
macOS Binary (arm64) | GSRI_2.53.0.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 |