mogsa

Multiple omics data integrative clustering and gene set analysis

Bioconductor version: Release (3.17)

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 (version "4.3") and enter:

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

BiocManager::install("mogsa")

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

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("mogsa")

moCluster: Integrative clustering using multiple omics data	PDF	R Script
mogsa: gene set analysis on multiple omics data	PDF	R Script
Reference Manual	PDF
NEWS	Text

biocViews	Clustering, GeneExpression, PrincipalComponent, Software, StatisticalMethod
Version	1.34.0
In Bioconductor since	BioC 3.1 (R-3.2) (8.5 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
Linking To
Suggests	BiocStyle, knitr, org.Hs.eg.db
System Requirements
Enhances
URL

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

Source Package	mogsa_1.34.0.tar.gz
Windows Binary	mogsa_1.34.0.zip
macOS Binary (x86_64)	mogsa_1.34.0.tgz
macOS Binary (arm64)	mogsa_1.34.0.tgz
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/
Package Downloads Report	Download Stats