Bioconductor version: Release (2.12)
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("PADOG")
To cite this package in a publication, start R and enter:
citation("PADOG")
R Script | PADOG | |
Reference Manual |
biocViews | Bioinformatics, Microarray, OneChannel, Software, TwoChannel |
Version | 1.2.0 |
In Bioconductor since | BioC 2.11 (R-2.16) |
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 Source | PADOG_1.2.0.tar.gz |
Windows Binary | PADOG_1.2.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | PADOG_1.2.0.tgz |
Package Downloads Report | Download Stats |
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