GSAR
This is the development version of GSAR; for the stable release version, see GSAR.
Gene Set Analysis in R
Bioconductor version: Development (3.21)
Gene set analysis using specific alternative hypotheses. Tests for differential expression, scale and net correlation structure.
Author: Yasir Rahmatallah <yrahmatallah at uams.edu>, Galina Glazko <gvglazko at uams.edu>
Maintainer: Yasir Rahmatallah <yrahmatallah at uams.edu>, Galina Glazko <gvglazko at uams.edu>
citation("GSAR")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("GSAR")
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("GSAR")| Gene Set Analysis in R -- the GSAR Package | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DifferentialExpression, Software, StatisticalMethod |
| Version | 1.41.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) (10 years) |
| License | GPL (>=2) |
| Depends | R (>= 3.0.1), igraph (>= 0.7.1) |
| Imports | stats, graphics |
| System Requirements | |
| URL |
See More
| Suggests | MASS, GSVAdata, ALL, tweeDEseqCountData, GSEABase, annotate, org.Hs.eg.db, Biobase, genefilter, hgu95av2.db, edgeR, BiocStyle |
| Linking To | |
| Enhances | |
| 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 | GSAR_1.41.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/GSAR |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/GSAR |
| Bioc Package Browser | https://code.bioconductor.org/browse/GSAR/ |
| Package Short Url | https://bioconductor.org/packages/GSAR/ |
| Package Downloads Report | Download Stats |