GSAR
Gene Set Analysis in R
Bioconductor version: 3.24 · Package version: 1.47.0
Gene set analysis using specific alternative hypotheses. Tests for differential expression, scale and net correlation structure.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GSAR")Details
| Maintainer | Yasir Rahmatallah <yrahmatallah@uams.edu>, Galina Glazko <gvglazko@uams.edu> |
| Author | Yasir Rahmatallah <yrahmatallah@uams.edu>, Galina Glazko <gvglazko@uams.edu> |
| License | GPL (>=2) |
| Downloads rank | 632 |
| Source branch | devel |
| biocViews | DifferentialExpression, Software, StatisticalMethod |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | GSAR_1.47.0.tar.gz |
| Windows binary (x86_64) | GSAR_1.47.0.zip |
| macOS binary (arm64) | GSAR_1.47.0.tgz |
| macOS binary (x86_64) | GSAR_1.47.0.tgz |
Dependencies
Depends: R (>= 3.0.1), igraph (>= 0.7.1)
Suggests: MASS, GSVAdata, ALL, tweeDEseqCountData, GSEABase, annotate, org.Hs.eg.db, Biobase, genefilter, hgu95av2.db, edgeR, BiocStyle