cqn
Conditional quantile normalization
Bioconductor version: Release (3.19)
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) | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | DifferentialExpression, ImmunoOncology, Preprocessing, RNASeq, Software |
Version | 1.50.0 |
In Bioconductor since | BioC 2.9 (R-2.14) (13 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 | 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_1.50.0.tar.gz |
Windows Binary (x86_64) | cqn_1.50.0.zip |
macOS Binary (x86_64) | cqn_1.50.0.tgz |
macOS Binary (arm64) | cqn_1.50.0.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 |