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 (3.0)

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 2.38.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier
License file LICENSE
Depends R (>= 1.9.0)
Imports graphics
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me RNAither, tRanslatome
Imports Me HTSanalyzeR
Suggests Me oneChannelGUI
Build Report  

Package Archives

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

Package Source RankProd_2.38.0.tar.gz
Windows Binary RankProd_2.38.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) RankProd_2.38.0.tgz
Mac OS X 10.9 (Mavericks) RankProd_2.38.0.tgz
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