mgsa
This is the released version of mgsa; for the devel version, see mgsa.
Model-based gene set analysis
Bioconductor version: Release (3.20)
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 | 1.54.0 |
| 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 | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | mgsa_1.54.0.tar.gz |
| Windows Binary (x86_64) | mgsa_1.54.0.zip |
| macOS Binary (x86_64) | mgsa_1.54.0.tgz |
| macOS Binary (arm64) | mgsa_1.54.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/mgsa |
| Source Repository (Developer Access) | git clone [email protected]:packages/mgsa |
| Bioc Package Browser | https://code.bioconductor.org/browse/mgsa/ |
| Package Short Url | https://bioconductor.org/packages/mgsa/ |
| Package Downloads Report | Download Stats |