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cqn

Conditional quantile normalization

Bioconductor version: 3.23 · Package version: 1.58.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

A normalization tool for RNA-Seq data, implementing the conditional quantile normalization method.

DOI: 10.18129/B9.bioc.cqn

Installation

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

BiocManager::install("cqn")

Details

MaintainerKasper Daniel Hansen <kasperdanielhansen@gmail.com>
AuthorJean (Zhijin) Wu, Kasper Daniel Hansen
LicenseArtistic-2.0
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsDifferentialExpression, ImmunoOncology, Preprocessing, RNASeq, Software
Package Short Url https://bioconductor.org/packages/cqn/

Citation

From within R, enter citation("cqn"):

Jean Wu, Kasper Daniel Hansen. cqn: Conditional quantile normalization. doi:10.18129/B9.bioc.cqn, R package version 1.58.0, https://bioconductor.org/packages/cqn.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagecqn_1.58.0.tar.gz
Windows binary (x86_64)cqn_1.58.0.zip
macOS binary (arm64)cqn_1.58.0.tgz
macOS binary (x86_64)cqn_1.58.0.tgz
Dependencies

Depends: R (>= 2.10.0), mclust

Imports: splines, graphics, nor1mix, stats, quantreg

Suggests: scales, edgeR

Reverse dependencies

Depends On Me (1): KnowSeq

Imports Me (2): GeoTcgaData, tweeDEseq