To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("oppar")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see oppar.
Bioconductor version: 3.4
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>
Citation (from within R,
enter citation("oppar")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("oppar")
Follow Installation instructions to use this package in your R session.
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