GSAR
This is the released version of GSAR; for the devel version, see GSAR.
Gene Set Analysis in R
Bioconductor version: Release (3.23)
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")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
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 | 1.46.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) (12 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_1.46.0.tar.gz |
| Windows Binary (x86_64) | GSAR_1.46.0.zip |
| macOS Binary (big-sur-x86_64) | GSAR_1.46.0.tgz |
| macOS Binary (sonoma-arm64) | GSAR_1.46.0.tgz |
| 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 |