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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 (3.18)

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 "4.3") and enter: 

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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 3.27.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 18 years)
License file LICENSE
Depends R (>= 3.2.1), stats, methods, Rmpfr, gmp
Imports graphics
Linking To
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System Requirements
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Depends On Me tRanslatome
Imports Me mslp, POMA, synlet
Suggests Me sigQC
Links To Me
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Package Archives

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

Source Package RankProd_3.27.0.tar.gz
Windows Binary RankProd_3.27.0.zip
macOS Binary (x86_64) RankProd_3.27.0.tgz
macOS Binary (arm64) RankProd_3.27.0.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