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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 (3.20)

This package provide a method for doing gene set analysis based on multiple omics data.

Author: Chen Meng

Maintainer: Chen Meng <mengchen18 at>

Citation (from within R, enter citation("mogsa")):


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

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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:

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


biocViews Clustering, GeneExpression, PrincipalComponent, Software, StatisticalMethod
Version 1.39.0
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
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Suggests BiocStyle, knitr,
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Follow Installation instructions to use this package in your R session.

Source Package mogsa_1.39.0.tar.gz
Windows Binary
macOS Binary (x86_64) mogsa_1.39.0.tgz
macOS Binary (arm64) mogsa_1.39.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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