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mogsa

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

Multiple omics data integrative clustering and gene set analysis


Bioconductor version: Development (3.19)

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")):

Installation

To install this package, start R (version "4.4") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("mogsa")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews Clustering, GeneExpression, PrincipalComponent, Software, StatisticalMethod
Version 1.37.0
In Bioconductor since BioC 3.1 (R-3.2) (9 years)
License GPL-2
Depends R (>= 3.4.0)
Imports methods, graphite, genefilter, BiocGenerics, gplots, GSEABase, Biobase, parallel, corpcor, svd, cluster, grDevices, graphics, stats, utils
System Requirements
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Suggests BiocStyle, knitr, org.Hs.eg.db
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Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64) mogsa_1.37.0.tgz
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/mogsa
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mogsa
Bioc Package Browser https://code.bioconductor.org/browse/mogsa/
Package Short Url https://bioconductor.org/packages/mogsa/
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