mgsa
Model-based gene set analysis
Bioconductor version: 2.9
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 <Sebastian.Bauer at charite.de>, Julien Gagneur <julien.gagneur at embl.de>
Maintainer: Sebastian Bauer <Sebastian.Bauer at charite.de>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("mgsa")
To cite this package in a publication, start R and enter:
citation("mgsa")
Documentation
| R Script | Overview of the mgsa package. | |
| Reference Manual |
Details
| biocViews | Pathways, GO |
| Depends | R (>= 2.9.0), methods, gplots |
| Imports | gplots, graphics, stats, utils |
| Suggests | DBI, RSQLite, GO.db |
| System Requirements | |
| License | Artistic-2.0 |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.2.0 |
| Since | Bioconductor 2.8 (R-2.13) |
Package Downloads
| Package Source | mgsa_1.2.0.tar.gz |
| Windows Binary | mgsa_1.2.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | mgsa_1.2.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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