This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see Vega.
Bioconductor version: 3.10
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 (version "3.6") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("Vega")
For older versions of R, please refer to the appropriate Bioconductor release.
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 | 1.34.0 |
In Bioconductor since | BioC 2.8 (R-2.13) (9 years) |
License | GPL-2 |
Depends | R (>= 2.10) |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | Vega_1.34.0.tar.gz |
Windows Binary | Vega_1.34.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | Vega_1.34.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/Vega |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/Vega |
Package Short Url | https://bioconductor.org/packages/Vega/ |
Package Downloads Report | Download Stats |
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