Rank Product method for identifying differentially expressed
genes with application in meta-analysis
Fangxin Hong <fxhong@jimmy.harvard.edu> and Ben Wittner
        <Wittner.Ben@mgh.harvard.edu> with contribution from Rainer
        Breitling <r.breitling@bio.gla.ac.uk>, Colin Smith
        <colin@colinsmith.org>, and Florian Battke 
	<battke@informatik.uni-tuebingen.de>
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.