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 (3.20)
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
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 | R Script | |
mogsa: gene set analysis on multiple omics data | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Clustering, GeneExpression, PrincipalComponent, Software, StatisticalMethod |
Version | 1.39.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (9.5 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 |
System Requirements | |
URL |
See More
Suggests | BiocStyle, knitr, org.Hs.eg.db |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | mogsa_1.39.0.tar.gz |
Windows Binary | mogsa_1.39.0.zip |
macOS Binary (x86_64) | mogsa_1.39.0.tgz |
macOS Binary (arm64) | mogsa_1.39.0.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 |