DOI: 10.18129/B9.bioc.RankProd    

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 (3.9)

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 postgrad.manchester.ac.uk>, Andris Jankevics <andris.jankevics at gmail.com> Fangxin Hong <fxhong at jimmy.harvard.edu>, Ben Wittner <Wittner.Ben at mgh.harvard.edu>, Rainer Breitling <rainer.breitling at manchester.ac.uk>, and Florian Battke <battke at informatik.uni-tuebingen.de>

Maintainer: Francesco Del Carratore <francescodc87 at gmail.com>

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


To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
BiocManager::install("RankProd", version = "3.9")

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:



PDF R Script RankProd Tutorial
PDF   Reference Manual


biocViews DifferentialExpression, GeneExpression, GeneSignaling, Lipidomics, Metabolomics, Microarray, Proteomics, ResearchField, Software, StatisticalMethod, SystemsBiology
Version 3.9.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 14 years)
License file LICENSE
Depends R (>= 3.2.1), stats, methods, Rmpfr, gmp
Imports graphics
Depends On Me RNAither, tRanslatome
Imports Me HTSanalyzeR, synlet
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package RankProd_3.9.0.tar.gz
Windows Binary RankProd_3.9.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) RankProd_3.9.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RankProd
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RankProd
Package Short Url http://bioconductor.org/packages/RankProd/
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: