To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("cqn")
In most cases, you don't need to download the package archive at all.
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Bioconductor version: 3.2
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("cqn")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cqn")
CQN (Conditional Quantile Normalization) | ||
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, Preprocessing, RNASeq, Software |
Version | 1.16.0 |
In Bioconductor since | BioC 2.9 (R-2.14) (4.5 years) |
License | Artistic-2.0 |
Depends | R (>= 2.10.0), mclust, nor1mix, stats, preprocessCore, splines, quantreg |
Imports | splines |
LinkingTo | |
Suggests | scales, edgeR |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | tweeDEseq |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | cqn_1.16.0.tar.gz |
Windows Binary | cqn_1.16.0.zip |
Mac OS X 10.6 (Snow Leopard) | cqn_1.16.0.tgz |
Mac OS X 10.9 (Mavericks) | cqn_1.16.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/cqn/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/cqn/ |
Package Downloads Report | Download Stats |
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