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This is the development version of RankProd; for the stable release version, see RankProd.

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

Bioconductor version: Development (3.20)

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.

Author: Francesco Del Carratore <francesco.delcarratore at>, Andris Jankevics <andris.jankevics at> Fangxin Hong <fxhong at>, Ben Wittner <Wittner.Ben at>, Rainer Breitling <rainer.breitling at>, and Florian Battke <battke at>

Maintainer: Francesco Del Carratore <francescodc87 at>

Citation (from within R, enter citation("RankProd")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

RankProd Tutorial PDF R Script
Reference Manual PDF


biocViews DifferentialExpression, GeneExpression, GeneSignaling, Lipidomics, Metabolomics, Microarray, Proteomics, ResearchField, Software, StatisticalMethod, SystemsBiology
Version 3.31.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 19 years)
License file LICENSE
Depends R (>= 3.2.1), stats, methods, Rmpfr, gmp
Imports graphics
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Depends On Me tRanslatome
Imports Me mslp, POMA, synlet, INCATome
Suggests Me sigQC
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Source Package RankProd_3.31.0.tar.gz
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