To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Vega")
In most cases, you don't need to download the package archive at all.
Vega
|
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see Vega.
An R package for copy number data segmentation
Bioconductor version: 3.4
Vega (Variational Estimator for Genomic Aberrations) is an algorithm that adapts a very popular variational model (Mumford and Shah) used in image segmentation so that chromosomal aberrant regions can be efficiently detected.
Author: Sandro Morganella
Maintainer: Sandro Morganella <sandro at ebi.ac.uk>
Citation (from within R,
enter citation("Vega")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Vega")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Vega")
| R Script | Vega | |
| Reference Manual |
Details
| biocViews | CopyNumberVariation, Software, aCGH |
| Version | 1.22.0 |
| In Bioconductor since | BioC 2.8 (R-2.13) (6 years) |
| License | GPL-2 |
| Depends | R (>= 2.10) |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | Vega_1.22.0.tar.gz |
| Windows Binary | Vega_1.22.0.zip (32- & 64-bit) |
| Mac OS X 10.9 (Mavericks) | Vega_1.22.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/Vega/tree/release-3.4 |
| Package Short Url | http://bioconductor.org/packages/Vega/ |
| Package Downloads Report | Download Stats |
Documentation »
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