cqn
Conditional quantile normalization
Bioconductor version: Release (3.17)
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 "4.3") 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 | 1.46.0 |
| In Bioconductor since | BioC 2.9 (R-2.14) (12 years) |
| License | Artistic-2.0 |
| Depends | R (>= 2.10.0), mclust, nor1mix, stats, preprocessCore, splines, quantreg |
| Imports | splines |
| Linking To | |
| Suggests | scales, edgeR |
| System Requirements | |
| Enhances | |
| URL |
See More
| Depends On Me | KnowSeq |
| Imports Me | GeoTcgaData, tweeDEseq |
| Suggests Me | extraChIPs |
| Links To Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | cqn_1.46.0.tar.gz |
| Windows Binary | cqn_1.46.0.zip |
| macOS Binary (x86_64) | cqn_1.46.0.tgz |
| macOS Binary (arm64) | cqn_1.46.0.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 |