To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("PADOG")

In most cases, you don't need to download the package archive at all.

PADOG

Pathway Analysis with Down-weighting of Overlapping Genes (PADOG)

Bioconductor version: 2.13

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>

Maintainer: Adi Laurentiu Tarca <atarca at med.wayne.edu>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("PADOG")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("PADOG")

 

PDF R Script PADOG
PDF   Reference Manual

Details

biocViews Bioinformatics, Microarray, OneChannel, Software, TwoChannel
Version 1.4.0
In Bioconductor since BioC 2.11 (R-2.15)
License GPL (>= 2)
Depends R (>= 2.14.0), KEGGdzPathwaysGEO, graphics, limma, AnnotationDbi, Biobase, methods, nlme, GSA, KEGG.db
Imports graphics, limma, hgu133plus2.db, hgu133a.db, KEGG.db, AnnotationDbi, Biobase, methods, nlme
Suggests parallel
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source PADOG_1.4.0.tar.gz
Windows Binary PADOG_1.4.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) PADOG_1.4.0.tgz
Browse/checkout source (username/password: readonly)
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