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

RankProd

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

Bioconductor version: 2.13

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>

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	2.34.0
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_2.34.0.tar.gz
Windows Binary	RankProd_2.34.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	RankProd_2.34.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats