RankProd

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see RankProd.

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


Bioconductor version: 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")):

Installation

To install this package, start R (version "3.6") 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 3.10.0
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
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Depends On Me RNAither, tRanslatome
Imports Me HTSanalyzeR, synlet
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Build Report Build Report

Package Archives

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

Source Package RankProd_3.10.0.tar.gz
Windows Binary RankProd_3.10.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) RankProd_3.10.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RankProd
Source Repository (Developer Access) git clone [email protected]:packages/RankProd
Bioc Package Browser https://code.bioconductor.org/browse/RankProd/
Package Short Url https://bioconductor.org/packages/RankProd/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.9 Source Archive