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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")):

Installation

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.

Documentation

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

Need some help? Ask on the Bioconductor Support site!

Details

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
See More
Suggests scales, edgeR
Linking To
Enhances
Depends On Me KnowSeq
Imports Me GeoTcgaData, tweeDEseq
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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 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