Vega

DOI: 10.18129/B9.bioc.Vega    

An R package for copy number data segmentation

Bioconductor version: Release (3.6)

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")

 

PDF R Script Vega
PDF   Reference Manual

Details

biocViews CopyNumberVariation, Software, aCGH
Version 1.26.0
In Bioconductor since BioC 2.8 (R-2.13) (7 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.

Source Package Vega_1.26.0.tar.gz
Windows Binary Vega_1.26.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) Vega_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/Vega
Package Short Url http://bioconductor.org/packages/Vega/
Package Downloads Report Download Stats

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