Package: RankProd
Version: 3.39.0
Date: 2016-09-16
Title: Rank Product method for identifying differentially expressed
        genes with application in meta-analysis
Author: Francesco Del Carratore
        <francesco.delcarratore@manchester.ac.uk>, Andris Jankevics
        <andris.jankevics@gmail.com> Fangxin Hong
        <fxhong@jimmy.harvard.edu>, Ben Wittner
        <Wittner.Ben@mgh.harvard.edu>, Rainer Breitling
        <rainer.breitling@manchester.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
Config/pak/sysreqs: libgmp3-dev libmpfr-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:31:03 UTC
RemoteUrl: https://github.com/bioc/RankProd
RemoteRef: HEAD
RemoteSha: 4a83f2e9913c661072b884335977da19aef6da45
NeedsCompilation: no
Packaged: 2026-07-04 23:29:42 UTC; root