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

Vignettes (Documentation)

Package Downloads

RankProd.pdf
Source RankProd_2.6.0.tar.gz
Windows binary RankProd_2.6.0.zip
OS X binary RankProd_2.6.0.tgz

Details

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