To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

cqn

Conditional quantile normalization

Bioconductor version: 2.14

A normalization tool for RNA-Seq data, implementing the conditional quantile normalization method.

Author: Jean (Zhijin) Wu, Kasper Daniel Hansen

Maintainer: Kasper Daniel Hansen <khansen at jhsph.edu>

Citation (from within R, enter citation("cqn")):

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("cqn")

 

PDF R Script CQN (Conditional Quantile Normalization)
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, Preprocessing, RNASeq, Software
Version 1.10.0
In Bioconductor since BioC 2.9 (R-2.14)
License Artistic-2.0
Depends R (>= 2.10.0), mclust, nor1mix, stats, preprocessCore, splines, quantreg
Imports splines
Suggests scales, edgeR
System Requirements
URL
Depends On Me
Imports Me tweeDEseq
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source cqn_1.10.0.tar.gz
Windows Binary cqn_1.10.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) cqn_1.10.0.tgz
Mac OS X 10.9 (Mavericks) cqn_1.10.0.tgz
Browse/checkout source (username/password: readonly)
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