RankProd

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

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 and Ben Wittner with contribution from Rainer Breitling and Colin Smith
Maintainer	Fangxin Hong

To install this package, start R and enter:

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

Documentation

RankProd Tutorial	PDF	R Script
Reference Manual

Details

biocViews	DifferentialExpression
Depends	R
Imports
Suggests
System Requirements
License	free for non-commercial users. Non-academic users MUST have requested from the author
URL
Depends On Me	RNAither
Imports Me
Suggests Me	oneChannelGUI
Development History	Bioconductor Changelog

Package Downloads

Package source	RankProd_2.16.0.tar.gz
Windows binary	RankProd_2.16.0.zip
MacOS X 10.4 (Tiger) binary	RankProd_2.16.0.tgz
MacOS X 10.5 (Leopard) binary	RankProd_2.16.0.tgz
Package Downloads Report	Downloads Stats