RankProd

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

Non-paramteric 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 and Ben Wittner with contribution from Rainer Breitling and Colin Smith
Maintainer	Fangxin Hong

To install this package, start R and enter:

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

Vignettes (Documentation)

Package Downloads

RankProd.pdf

Source	RankProd_2.10.0.tar.gz
Windows binary	RankProd_2.10.0.zip
OS X binary	RankProd_2.10.0.tgz

Details

biocViews	DifferentialExpression
Depends	R
Suggests
Imports
SystemRequirements
License	free for non-commercial users. Non-academic users MUST have requested from the author
URL
dependsOnMe
suggestsMe	oneChannelGUI