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>

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

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

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