cqn
Conditional quantile normalization
Bioconductor version: 2.10
A normalization tool for RNA-Seq data, implementing the conditional quantile normalization method.
Author: Jean (Zhijin) Wu, Kasper Daniel Hansen
Maintainer: Kasper Daniel Hansen <khansen at jhsph.edu>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("cqn")
To cite this package in a publication, start R and enter:
citation("cqn")
Documentation
| R Script | CQN (Conditional Quantile Normalization) | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | DifferentialExpression, Preprocessing, RNAseq, Software |
| Depends | R (>= 2.10.0), mclust, nor1mix, stats, preprocessCore, splines, quantreg |
| Imports | splines |
| Suggests | scales, edgeR |
| System Requirements | |
| License | Artistic-2.0 |
| URL | |
| Depends On Me | |
| Imports Me | tweeDEseq |
| Suggests Me | |
| Version | 1.2.0 |
| Since | Bioconductor 2.9 (R-2.14) |
Package Downloads
| Package Source | cqn_1.2.0.tar.gz |
| Windows Binary | cqn_1.2.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | cqn_1.2.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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