quantsmooth
This is the released version of quantsmooth; for the devel version, see quantsmooth.
Quantile smoothing and genomic visualization of array data
Bioconductor version: Release (3.20)
Implements quantile smoothing as introduced in: Quantile smoothing of array CGH data; Eilers PH, de Menezes RX; Bioinformatics. 2005 Apr 1;21(7):1146-53.
Author: Jan Oosting, Paul Eilers, Renee Menezes
Maintainer: Jan Oosting <j.oosting at lumc.nl>
Citation (from within R, enter
citation("quantsmooth")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("quantsmooth")
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("quantsmooth")| quantsmooth | R Script | |
| Reference Manual |
Details
| biocViews | CopyNumberVariation, Software, Visualization |
| Version | 1.72.0 |
| In Bioconductor since | BioC 1.9 (R-2.4) (18 years) |
| License | GPL-2 |
| Depends | R (>= 2.10.0), quantreg, grid |
| Imports | |
| System Requirements | |
| URL |
See More
| Suggests | |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | GWASTools, SIM |
| Suggests Me | PREDA |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | quantsmooth_1.72.0.tar.gz |
| Windows Binary (x86_64) | quantsmooth_1.72.0.zip |
| macOS Binary (x86_64) | quantsmooth_1.72.0.tgz |
| macOS Binary (arm64) | quantsmooth_1.72.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/quantsmooth |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/quantsmooth |
| Bioc Package Browser | https://code.bioconductor.org/browse/quantsmooth/ |
| Package Short Url | https://bioconductor.org/packages/quantsmooth/ |
| Package Downloads Report | Download Stats |