Description Details Author(s) References Examples
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.
Package: | Vega |
Type: | Package |
Version: | 1.0 |
License: | GPL-2 |
LazyLoad: | yes |
biocViews: | aCGH, DNACopyNumber |
Sandro Morganella, Luigi Cerulo, Giuseppe Viglietto, Michele Ceccarelli Maintainer: Sandro Morganella <morganellaalx@gmail.com>
Morganella S. et al. (2010). VEGA: Variational segmentation for copy number detection, Bioinformatics.
1 2 3 4 5 | # 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);
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