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RankProd
This package is for version 3.6 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: 3.6
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("RankProd")):
Installation
To install this package, start R (version "3.4") 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")
Details
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Follow Installation instructions to use this package in your R session.