DOI: 10.18129/B9.bioc.cqn    

This is the development version of cqn; for the stable release version, see cqn.

Conditional quantile normalization

Bioconductor version: Development (3.9)

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 (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
BiocManager::install("cqn", version = "3.9")

For older versions of R, please refer to the appropriate Bioconductor release.


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



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


biocViews DifferentialExpression, ImmunoOncology, Preprocessing, RNASeq, Software
Version 1.29.1
In Bioconductor since BioC 2.9 (R-2.14) (7.5 years)
License Artistic-2.0
Depends R (>= 2.10.0), mclust, nor1mix, stats, preprocessCore, splines, quantreg
Imports splines
Suggests scales, edgeR
Depends On Me
Imports Me tweeDEseq
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package cqn_1.29.1.tar.gz
Windows Binary cqn_1.29.1.zip
Mac OS X 10.11 (El Capitan) cqn_1.29.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/cqn
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/cqn
Package Short Url http://bioconductor.org/packages/cqn/
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