cqn

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see cqn.

Conditional quantile normalization


Bioconductor version: 3.7

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 "3.5") 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

Details

biocViews DifferentialExpression, Preprocessing, RNASeq, Software
Version 1.26.0
In Bioconductor since BioC 2.9 (R-2.14) (12.5 years)
License Artistic-2.0
Depends R (>= 2.10.0), mclust, nor1mix, stats, preprocessCore, splines, quantreg
Imports splines
System Requirements
URL
See More
Suggests scales, edgeR
Linking To
Enhances
Depends On Me
Imports Me 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_1.26.0.tar.gz
Windows Binary cqn_1.26.0.zip
Mac OS X 10.11 (El Capitan) cqn_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/cqn
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/cqn
Package Short Url https://bioconductor.org/packages/cqn/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.7 Source Archive