mgsa
Model-based gene set analysis
Bioconductor version: 3.23 · Package version: 1.60.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
Model-based Gene Set Analysis (MGSA) is a Bayesian modeling approach for gene set enrichment. The package mgsa implements MGSA and tools to use MGSA together with the Gene Ontology.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("mgsa")Details
| Maintainer | Sebastian Bauer <mail@sebastianbauer.info> |
| Author | Sebastian Bauer <mail@sebastianbauer.info>, Julien Gagneur <gagneur@genzentrum.lmu.de> |
| License | Artistic-2.0 |
| URL | https://github.com/sba1/mgsa-bioc |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | GO, GeneSetEnrichment, Pathways, Software |
| Package Short Url | https://bioconductor.org/packages/mgsa/ |
Citation
From within R, enter citation("mgsa"):
Sebastian Bauer, Julien Gagneur. mgsa: Model-based gene set analysis. doi:10.18129/B9.bioc.mgsa, R package version 1.60.0, https://bioconductor.org/packages/mgsa.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | mgsa_1.60.0.tar.gz |
| Windows binary (x86_64) | mgsa_1.60.0.zip |
| macOS binary (arm64) | mgsa_1.60.0.tgz |
| macOS binary (x86_64) | mgsa_1.60.0.tgz |