DOI: 10.18129/B9.bioc.oppar    

Outlier profile and pathway analysis in R

Bioconductor version: Release (3.6)

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.

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]

Maintainer: Soroor Hediyeh zadeh <hediyehzadeh.s at wehi.edu.au>

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biocViews GeneExpression, GeneSetEnrichment, Pathways, Software, SystemsBiology
Version 1.6.0
In Bioconductor since BioC 3.3 (R-3.3) (2 years)
License GPL-2
Depends R (>= 3.3)
Imports Biobase, methods, GSEABase, GSVA
Suggests knitr, rmarkdown, limma, org.Hs.eg.db, GO.db, snow, parallel
Depends On Me
Imports Me
Suggests Me
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Source Package oppar_1.6.0.tar.gz
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Mac OS X 10.11 (El Capitan) oppar_1.6.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/oppar
Package Short Url http://bioconductor.org/packages/oppar/
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