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_2.4.0.tar.gz Windows binary RankProd_2.4.0.zip OS X binary RankProd_2.4.0.tgz

Details

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