This paper presents a general half quadratic framework for simultaneous analysis of the
whole array comparative genomic hybridization (aCGH) profiles in a data set. The proposed …

Motivation: Array comparative genomic hybridization (aCGH) provides a genome-wide
technique to screen for copy number alteration. The existing segmentation approaches for …

Array comparative genomic hybridization (aCGH) provides a genome‐wide information of
DNA copy number that is potentially useful for disease classification. One immediate …

This paper presents a new method for analyzing array comparative genomic hybridization
(aCGH) data based on Correntropy. A new formulation based on low-rank aCGH data and …

We describe a tool, called aCGH-Smooth, for the automated identification of breakpoints and
smoothing of microarray comparative genomic hybridization (array CGH) data. aCGH …

Motivation: The resolution at which genomic alterations can be mapped by means of
oligonucleotide aCGH (array-based comparative genomic hybridization) is limited by two …

Motivation: Array comparative genomic hybridization (aCGH) is a pervasive technique used
to identify chromosomal aberrations in human diseases, including cancer. Aberrations are …

Abstract Motivation: Plots of array Comparative Genomic Hybridization (CGH) data often
show special patterns: stretches of constant level (copy number) with sharp jumps between …

Mat-aCGH is an application toolbox for analysis and visualization of microarray-comparative
genomic hybridization (array-CGH or aCGH) data which is based on Matlab. Full process of …

Array comparative genomic hybridization (aCGH) is a microarray technology that allows one
to detect and map genomic alterations. The standard workflow of the aCGH data analysis …