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mgsa

This is the development version of mgsa; for the stable release version, see mgsa.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8

Model-based gene set analysis


Bioconductor version: Development (3.24)

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 (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 1.61.0, https://bioconductor.org/packages/mgsa.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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. PDF R Script
Reference ManualPDF

Details

biocViews GO, GeneSetEnrichment, Pathways, Software
Version1.61.0
In Bioconductor sinceBioC 2.8 (R-2.13) (15.5 years)
License Artistic-2.0
Depends R (>= 2.14.0), methods, gplots
Imports graphics, stats, utils
System Requirements
URLhttps://github.com/sba1/mgsa-bioc
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Suggests DBI, RSQLite, GO.db, testthat
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package mgsa_1.61.0.tar.gz
Windows Binary (x86_64) mgsa_1.61.0.zip
macOS Binary (big-sur-x86_64) mgsa_1.61.0.tgz
macOS Binary (sonoma-arm64) mgsa_1.61.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/mgsa
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/mgsa
Package Short Url https://bioconductor.org/packages/mgsa/
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