RankProd

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

Bioconductor version: Release (2.7)

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:///biocLite.R")
biocLite("RankProd")    

Documentation

PDF R Script RankProd Tutorial

Reference Manual

Details

biocViews DifferentialExpression
Depends R
Imports graphics
Suggests
System Requirements
License file LICENSE
URL
Depends On Me HTSanalyzeR, RNAither
Imports Me
Suggests Me oneChannelGUI
Version 2.22.0

Package Downloads

Package Source RankProd_2.22.0.tar.gz
Windows Binary RankProd_2.22.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary RankProd_2.22.0.tgz
Package Downloads Report Download Stats

Workflows »

Common Bioconductor workflows include:

 

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center