Package: RankProd
Version: 3.2.0
Date: 2016-09-16
Title: Rank Product method for identifying differentially expressed
        genes with application in meta-analysis
Author: Francesco Del Carratore
        <francesco.delcarratore@postgrad.manchester.ac.uk>,
        Andris Janckevics <andris.jankevics@gmail.com>
        Fangxin Hong <fxhong@jimmy.harvard.edu>,
        Ben Wittner <Wittner.Ben@mgh.harvard.edu>,
        Rainer Breitling <r.breitling@bio.gla.ac.uk>,
        and Florian Battke <battke@informatik.uni-tuebingen.de>
Maintainer: Francesco Del Carratore
 <francescodc87@gmail.com>
Depends: R (>= 3.2.1), stats, methods, Rmpfr, gmp
Imports: graphics
Description: 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.
License: file LICENSE
License_restricts_use: yes
biocViews: DifferentialExpression, StatisticalMethod, Software,
        ResearchField, Metabolomics, Lipidomics, Proteomics,
        SystemsBiology, GeneExpression, Microarray, GeneSignaling
NeedsCompilation: no
Packaged: 2017-04-24 23:20:31 UTC; biocbuild
Built: R 3.4.0; ; 2017-04-25 06:33:43 UTC; windows
