cqn

This is the released version of cqn; for the devel version, see cqn.

Conditional quantile normalization

Bioconductor version: Release (3.20)

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 "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("cqn")

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:

browseVignettes("cqn")

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

biocViews	DifferentialExpression, ImmunoOncology, Preprocessing, RNASeq, Software
Version	1.52.0
In Bioconductor since	BioC 2.9 (R-2.14) (13 years)
License	Artistic-2.0
Depends	R (>= 2.10.0), mclust
Imports	splines, graphics, nor1mix, stats, quantreg
System Requirements
URL

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

Source Package	cqn_1.52.0.tar.gz
Windows Binary (x86_64)	cqn_1.52.0.zip
macOS Binary (x86_64)	cqn_1.52.0.tgz
macOS Binary (arm64)	cqn_1.52.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/cqn
Source Repository (Developer Access)	git clone [email protected]:packages/cqn
Bioc Package Browser	https://code.bioconductor.org/browse/cqn/
Package Short Url	https://bioconductor.org/packages/cqn/
Package Downloads Report	Download Stats