To install this package, start R and enter:

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

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

RankProd

Rank Product method for identifying differentially expressed genes with application in meta-analysis

Bioconductor version: Release (2.14)

Non-parametric method for identifying differentially expressed (up- or down- regulated) genes based on the estimated percentage of false predictions (pfp). The method can combine data sets from different origins (meta-analysis) to increase the power of the identification.

Author: Fangxin Hong <fxhong at jimmy.harvard.edu> and Ben Wittner <Wittner.Ben at mgh.harvard.edu> with contribution from Rainer Breitling <r.breitling at bio.gla.ac.uk>, Colin Smith <colin at colinsmith.org>, and Florian Battke <battke at informatik.uni-tuebingen.de>

Maintainer: Fangxin Hong <fxhong at jimmy.harvard.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("RankProd")

 

PDF R Script RankProd Tutorial
PDF   Reference Manual
Text   LICENSE

Details

biocViews DifferentialExpression, Software
Version 2.36.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier
License file LICENSE
Depends R (>= 1.9.0)
Imports graphics
Suggests
System Requirements
URL
Depends On Me RNAither, tRanslatome
Imports Me HTSanalyzeR
Suggests Me oneChannelGUI

Package Archives

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

Package Source RankProd_2.36.0.tar.gz
Windows Binary RankProd_2.36.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) RankProd_2.36.0.tgz
Mac OS X 10.9 (Mavericks) RankProd_2.36.0.tgz
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