Package: oppar Type: Package Title: Outlier profile and pathway analysis in R Version: 1.41.0 Date: 2016 Authors@R: c( person("Chenwei", "Wang", email = "chenwei.wang@qut.edu.au", role = "aut"), person("Alperen", "Taciroglu", role = "aut"), person("Stefan R", "Maetschke", role = "aut"), person("Colleen C", "Nelson", role = "aut"), person("Mark", "Ragan", role = "aut"), person("Melissa", "Davis", email = "davis.m@wehi.edu.au", role = "aut"), person("Soroor", "Hediyeh zadeh", email = "hediyehzadeh.s@wehi.edu.au",role = "cre"), person("Momeneh","Foroutan", email= "mforoutan@student.unimelb.edu.au", role = "ctr")) Description: 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. biocViews: Pathways, GeneSetEnrichment, SystemsBiology, GeneExpression, Software Depends: R (>= 3.3) Imports: Biobase, methods, GSEABase, GSVA License: GPL-2 LazyData: true Collate: 'class_OPPARList.R' 'class_nuchar.R' 'getSampleOutlier.R' 'getSubtypeProbes.R' 'gsva.R' 'opa-generic-methods.R' 'oppar.R' 'utils.R' 'zzz.R' RoxygenNote: 5.0.1 Suggests: knitr, rmarkdown, limma, org.Hs.eg.db, GO.db, snow, parallel VignetteBuilder: knitr Config/pak/sysreqs: libmagick++-dev gsfonts libicu-dev libpng-dev libxml2-dev libssl-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:43:19 UTC RemoteUrl: https://github.com/bioc/oppar RemoteRef: HEAD RemoteSha: 892e38d188fe3ce5531183b48c5559e654205f11 NeedsCompilation: yes Packaged: 2026-07-04 22:47:24 UTC; root 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