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cqn

This is thedevelopment version of cqn; for the stable release version, seecqn.

Conditional quantile normalization

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DOI: 10.18129/B9.bioc.cqn


Bioconductor version: Development (3.23)

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, entercitation("cqn")):

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")# The following initializes usage of Bioc develBiocManager::install(version='devel')BiocManager::install("cqn")

For older versions of R, please refer to the appropriateBioconductor 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)PDFR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDifferentialExpression,ImmunoOncology,Preprocessing,RNASeq,Software
Version1.57.0
In Bioconductor sinceBioC 2.9 (R-2.14) (14 years)
LicenseArtistic-2.0
DependsR (>= 2.10.0),mclust
Importssplines, graphics,nor1mix, stats,quantreg
System Requirements
URL
See More
Suggestsscales,edgeR
Linking To
Enhances
Depends On MeKnowSeq
Imports MeGeoTcgaData,tweeDEseq
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagecqn_1.57.0.tar.gz
Windows Binary (x86_64) cqn_1.57.0.zip
macOS Binary (x86_64)cqn_1.57.0.tgz
macOS Binary (arm64)cqn_1.57.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/cqn
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/cqn
Bioc Package Browserhttps://code.bioconductor.org/browse/cqn/
Package Short Urlhttps://bioconductor.org/packages/cqn/
Package Downloads ReportDownload Stats

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