Vega (version 1.20.0)

An R package for copy number data segmentation

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.

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Version

1.20.0

License

GPL-2

Maintainer

S Morganella

Last Published

February 15th, 2017

Functions in Vega (1.20.0)

VegaMC-package

VegaMC: A Package Implementing a Variational Piecewise Smooth Model for Identification of Driver Chromosomal Imbalances in Cancer.

plotSegmentation

Plot observations and the respective segmentation.

G519

Granta-519 Data

vega

This function computes, saves and returns the copy number segmentation on the aCGH data passed as argument.

Vega-package

An R package for copy number data segmentation

sortData

This function sorts a dataset file by the genomic position of the probes.

vegaMC-methods

Class aggregator of VegaMC.