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RankProd

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


Bioconductor version: Release (3.19)

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 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")):

Installation

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


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("RankProd")

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

Documentation

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

browseVignettes("RankProd")
RankProd Tutorial PDF R Script
Reference Manual PDF
LICENSE Text

Details

biocViews DifferentialExpression, GeneExpression, GeneSignaling, Lipidomics, Metabolomics, Microarray, Proteomics, ResearchField, Software, StatisticalMethod, SystemsBiology
Version 3.30.0
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
System Requirements
URL
See More
Suggests
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Enhances
Depends On Me tRanslatome
Imports Me mslp, POMA, synlet, INCATome
Suggests Me sigQC
Links To Me
Build Report Build Report

Package Archives

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

Source Package RankProd_3.30.0.tar.gz
Windows Binary RankProd_3.30.0.zip
macOS Binary (x86_64) RankProd_3.30.0.tgz
macOS Binary (arm64) RankProd_3.30.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RankProd
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RankProd
Bioc Package Browser https://code.bioconductor.org/browse/RankProd/
Package Short Url https://bioconductor.org/packages/RankProd/
Package Downloads Report Download Stats