cqn

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

Conditional quantile normalization

Bioconductor version: Development (3.21)

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 "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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	1.53.0
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

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_1.53.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
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