mgsa
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see mgsa.
Model-based gene set analysis
Bioconductor version: 3.19
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.
Author: Sebastian Bauer <mail at sebastianbauer.info>, Julien Gagneur <gagneur at genzentrum.lmu.de>
Maintainer: Sebastian Bauer <mail at sebastianbauer.info>
citation("mgsa")):
      
    Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("mgsa")
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("mgsa")| Overview of the mgsa package. | R Script | |
| Reference Manual | 
Details
| biocViews | GO, GeneSetEnrichment, Pathways, Software | 
| Version | 1.52.0 | 
| In Bioconductor since | BioC 2.8 (R-2.13) (13.5 years) | 
| License | Artistic-2.0 | 
| Depends | R (>= 2.14.0), methods, gplots | 
| Imports | graphics, stats, utils | 
| System Requirements | |
| URL | https://github.com/sba1/mgsa-bioc | 
See More
| Suggests | DBI, RSQLite, GO.db, testthat | 
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | pareg | 
| Links To Me | |
| Build Report | Build Report | 
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | mgsa_1.52.0.tar.gz | 
| Windows Binary (x86_64) | mgsa_1.52.0.zip | 
| macOS Binary (x86_64) | mgsa_1.52.0.tgz | 
| macOS Binary (arm64) | mgsa_1.52.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/mgsa | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/mgsa | 
| Bioc Package Browser | https://code.bioconductor.org/browse/mgsa/ | 
| Package Short Url | https://bioconductor.org/packages/mgsa/ | 
| Package Downloads Report | Download Stats |