To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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: 3.2

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

Author: Jean (Zhijin) Wu, Kasper Daniel Hansen

Maintainer: Kasper Daniel Hansen <kasperdanielhansen at gmail.com>

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

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("cqn")

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

browseVignettes("cqn")

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

biocViews	DifferentialExpression, Preprocessing, RNASeq, Software
Version	1.16.0
In Bioconductor since	BioC 2.9 (R-2.14) (4.5 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

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

Package Source	cqn_1.16.0.tar.gz
Windows Binary	cqn_1.16.0.zip
Mac OS X 10.6 (Snow Leopard)	cqn_1.16.0.tgz
Mac OS X 10.9 (Mavericks)	cqn_1.16.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/cqn/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/cqn/
Package Downloads Report	Download Stats

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