To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("PADOG")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
This package implements a general purpose gene set analysis method called PADOG that downplays the importance of genes that apear often accross the sets of genes to be analyzed. The package provides also a benchmark for gene set analysis methods in terms of sensitivity and ranking using 24 public datasets from KEGGdzPathwaysGEO package.
Author: Adi Laurentiu Tarca <atarca at med.wayne.edu>; Zhonghui Xu <zhonghui.xu at gmail.com>
Maintainer: Adi Laurentiu Tarca <atarca at med.wayne.edu>
Citation (from within R,
enter citation("PADOG")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("PADOG")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PADOG")
Follow Installation instructions to use this package in your R session.
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