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This package is for version 2.11 of Bioconductor; for the stable, up-to-date release version, see RankProd.
Bioconductor version: 2.11
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: Fangxin Hong <fxhong at jimmy.harvard.edu> and Ben Wittner <Wittner.Ben at mgh.harvard.edu> with contribution from Rainer Breitling <r.breitling at bio.gla.ac.uk>, Colin Smith <colin at colinsmith.org>, and Florian Battke <battke at informatik.uni-tuebingen.de>
Maintainer: Fangxin Hong <fxhong at jimmy.harvard.edu>
Citation (from within R,
enter citation("RankProd")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("RankProd")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RankProd")
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