RankProd

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

Bioconductor version: Release (2.12)

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>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("RankProd")

To cite this package in a publication, start R and enter:

    citation("RankProd")

Documentation

Details

Package Downloads