oppar
Outlier profile and pathway analysis in R
Bioconductor version: 3.23 · Package version: 1.40.0
The R implementation of mCOPA package published by Wang et al. (2012). Oppar provides methods for Cancer Outlier profile Analysis. Although initially developed to detect outlier genes in cancer studies, methods presented in oppar can be used for outlier profile analysis in general. In addition, tools are provided for gene set enrichment and pathway analysis.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("oppar")Details
| Maintainer | Soroor Hediyeh zadeh <hediyehzadeh.s@wehi.edu.au> |
| Author | Chenwei Wang [aut], Alperen Taciroglu [aut], Stefan R Maetschke [aut], Colleen C Nelson [aut], Mark Ragan [aut], Melissa Davis [aut], Soroor Hediyeh zadeh [cre], Momeneh Foroutan [ctr] |
| License | GPL-2 |
| Downloads rank | 590 |
| Source branch | RELEASE_3_23 |
| biocViews | GeneExpression, GeneSetEnrichment, Pathways, Software, SystemsBiology |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | oppar_1.40.0.tar.gz |
| Windows binary (x86_64) | oppar_1.40.0.zip |
| macOS binary (arm64) | oppar_1.40.0.tgz |
| macOS binary (x86_64) | oppar_1.40.0.tgz |