cqn

DOI: 10.18129/B9.bioc.cqn  

Conditional quantile normalization

Bioconductor version: Release (3.16)

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>

Installation

To install this package, start R (version "4.2") 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.

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, ImmunoOncology, Preprocessing, RNASeq, Software
Version	1.44.0
In Bioconductor since	BioC 2.9 (R-2.14) (11.5 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	KnowSeq
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_1.44.0.tar.gz
Windows Binary	cqn_1.44.0.zip
macOS Binary (x86_64)	cqn_1.44.0.tgz
macOS Binary (arm64)	cqn_1.44.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/cqn
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/cqn
Bioc Package Browser	https://code.bioconductor.org/browse/cqn/
Package Short Url	https://bioconductor.org/packages/cqn/
Package Downloads Report	Download Stats