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.
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")):
To install this package, start R and enter:
source("http://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")
    
| R Script | PADOG | |
| Reference Manual | 
| 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 | 
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) | 
| Package Downloads Report | Download Stats | 
 
  
  Common Bioconductor workflows include:
 
  
  Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!