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

Bioconductor version: 2.8

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 <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> and Colin Smith <colin at colinsmith.org>

Maintainer: Fangxin Hong <fxhong at jimmy.harvard.edu>

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biocViews DifferentialExpression
Depends R (>= 1.9.0)
Imports graphics
System Requirements
License file LICENSE
Depends On Me HTSanalyzeR, RNAither
Imports Me
Suggests Me oneChannelGUI
Version 2.24.0
Since Bioconductor 1.6 (R-2.1) or earlier

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