Vega-package: An R package for copy number data segmentation

Description Details Author(s) References Examples

Description

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.

Details

Package: Vega
Type: Package
Version: 1.0
License: GPL-2
LazyLoad: yes
biocViews: aCGH, DNACopyNumber

Author(s)

Sandro Morganella, Luigi Cerulo, Giuseppe Viglietto, Michele Ceccarelli Maintainer: Sandro Morganella <morganellaalx@gmail.com>

References

Morganella S. et al. (2010). VEGA: Variational segmentation for copy number detection, Bioinformatics.

Examples

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# Load tha data for Granta-519 Cell Line
data(G519);

# Start Vega segmentation on all chromosomes of G519 data and save the results in G519_segmentation.txt tab delimited file
seg <- vega(CNVdata=G519, chromosomes=c(1:22, "X", "Y"), out_file_name="G519_segmentation.txt", beta=0.5, min_region_size=2);

Vega documentation built on April 28, 2020, 8:45 p.m.