RankProd

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

Bioconductor version: 2.8

Non-paramteric 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> and Colin Smith <colin at colinsmith.org>

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

PDF R Script RankProd Tutorial
PDF   Reference Manual

Details

biocViews DifferentialExpression
Depends R (>= 1.9.0)
Imports graphics
Suggests
System Requirements
License file LICENSE
URL
Depends On Me HTSanalyzeR, RNAither
Imports Me
Suggests Me oneChannelGUI
Version 2.24.0
Since Bioconductor 1.6 (R-2.1) or earlier

Package Downloads

Package Source RankProd_2.24.0.tar.gz
Windows Binary RankProd_2.24.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary RankProd_2.24.0.tgz
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