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: Release (3.1)

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 1.14.0
In Bioconductor since BioC 2.9 (R-2.14) (4 years)
License Artistic-2.0
Depends R (>= 2.10.0), mclust, nor1mix, stats, preprocessCore, splines, quantreg
Imports splines
LinkingTo
Suggests scales, edgeR
SystemRequirements
Enhances
URL
Depends On Me
Imports Me tweeDEseq
Suggests Me
Build Report  

Package Archives

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

Package Source cqn_1.14.0.tar.gz
Windows Binary cqn_1.14.0.zip
Mac OS X 10.6 (Snow Leopard) cqn_1.14.0.tgz
Mac OS X 10.9 (Mavericks) cqn_1.14.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/cqn/tree/release-3.1
Package Short Url http://bioconductor.org/packages/cqn/
Package Downloads Report Download Stats

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