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Outlier profile and pathway analysis in R

Bioconductor version: Release (3.19)

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>

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


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

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


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:

OPPAR: Outlier Profile and Pathway Analysis in R HTML R Script
Reference Manual PDF


biocViews GeneExpression, GeneSetEnrichment, Pathways, Software, SystemsBiology
Version 1.32.0
In Bioconductor since BioC 3.3 (R-3.3) (8 years)
License GPL-2
Depends R (>= 3.3)
Imports Biobase, methods, GSEABase, GSVA
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Suggests knitr, rmarkdown, limma,, GO.db, snow, parallel
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Follow Installation instructions to use this package in your R session.

Source Package oppar_1.32.0.tar.gz
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macOS Binary (x86_64) oppar_1.32.0.tgz
macOS Binary (arm64) oppar_1.32.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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