mogsa
Multiple omics data integrative clustering and gene set analysis
Bioconductor version: 3.23 · Package version: 1.46.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
This package provide a method for doing gene set analysis based on multiple omics data.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("mogsa")Details
| Maintainer | Chen Meng <mengchen18@gmail.com> |
| Author | Chen Meng |
| License | GPL-2 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Clustering, GeneExpression, PrincipalComponent, Software, StatisticalMethod |
| Package Short Url | https://bioconductor.org/packages/mogsa/ |
Citation
From within R, enter citation("mogsa"):
Chen Meng. mogsa: Multiple omics data integrative clustering and gene set analysis. doi:10.18129/B9.bioc.mogsa, R package version 1.46.0, https://bioconductor.org/packages/mogsa.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
- moCluster: Integrative clustering using multiple omics data
- mogsa: gene set analysis on multiple omics data
Download
Follow the installation instructions to use this package in your R session.
| Source package | mogsa_1.46.0.tar.gz |
| Windows binary (x86_64) | mogsa_1.46.0.zip |
| macOS binary (arm64) | mogsa_1.46.0.tgz |
| macOS binary (x86_64) | mogsa_1.46.0.tgz |
Dependencies
Depends: R (>= 3.4.0)
Imports: methods, graphite, genefilter, BiocGenerics, gplots, GSEABase, Biobase, parallel, corpcor, svd, cluster, grDevices, graphics, stats, utils
Suggests: BiocStyle, knitr, org.Hs.eg.db