To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("Vega")

In most cases, you don't need to download the package archive at all.

Vega

 

An R package for copy number data segmentation

Bioconductor version: Release (3.1)

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:

source("http://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 1.16.0
In Bioconductor since BioC 2.8 (R-2.13) (4.5 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_1.16.0.tar.gz
Windows Binary Vega_1.16.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) Vega_1.16.0.tgz
Mac OS X 10.9 (Mavericks) Vega_1.16.0.tgz
Subversion source (username/password: readonly)
GitHub source https://github.com/Bioconductor-mirror/Vega/tree/release-3.1
Package Short Url http://bioconductor.org/packages/Vega/
Package Downloads Report Download Stats

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