Package: oppar
Type: Package
Title: Outlier profile and pathway analysis in R
Version: 1.8.0
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
NeedsCompilation: yes
Packaged: 2018-05-01 03:25:59 UTC; biocbuild
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@wehi.edu.au>
Built: R 3.5.0; i386-w64-mingw32; 2018-05-01 12:28:59 UTC; windows
Archs: i386, x64
