To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("Vega")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 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")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("Vega")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Vega")
R Script | Vega | |
Reference Manual |
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 |
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) |
Git 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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