To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("mogsa")
In most cases, you don't need to download the package archive at all.
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Bioconductor version: Release (3.3)
This package provide a method for doing gene set analysis based on multiple omics data.
Author: Chen Meng
Maintainer: Chen Meng <mengchen18 at gmail.com>
Citation (from within R,
enter citation("mogsa")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("mogsa")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mogsa")
R Script | mogsa: gene set analysis on multiple omics data | |
R Script | mogsa: gene set analysis on multiple omics data | |
Reference Manual | ||
Text | NEWS |
biocViews | Clustering, GeneExpression, PrincipalComponent, Software, StatisticalMethod |
Version | 1.6.4 |
In Bioconductor since | BioC 3.1 (R-3.2) (1.5 years) |
License | GPL-2 |
Depends | R (>= 3.2.0) |
Imports | methods, graphite, genefilter, BiocGenerics, gplots, GSEABase, Biobase, parallel, corpcor, svd, cluster |
LinkingTo | |
Suggests | BiocStyle, knitr |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | mogsa_1.6.4.tar.gz |
Windows Binary | mogsa_1.6.4.zip |
Mac OS X 10.9 (Mavericks) | mogsa_1.6.4.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/mogsa/tree/release-3.3 |
Package Short Url | http://bioconductor.org/packages/mogsa/ |
Package Downloads Report | Download Stats |
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