Array CGH is a powerful technique for genomic studies of cancer. It enables one to carry out
genome-wide screening for regions of genetic alterations, such as chromosome gains and …

Abstract Motivation: Array Comparative Genomic Hybridization (CGH) can reveal
chromosomal aberrations in the genomic DNA. These amplifications and deletions at the …

Motivation: Genomic DNA regions are frequently lost or gained during tumor progression.
Array Comparative Genomic Hybridization (array CGH) technology makes it possible to …

CGHcall achieves high calling accuracy for array CGH data by effective use of breakpoint
information from segmentation and by inclusion of several biological concepts that are …

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

Abstract Motivation: Microarray-based CGH (Comparative Genomic Hybridization),
transcriptome arrays and other large-scale genomic technologies are now routinely used to …

An algorithm to reduce multi-sample array CGH data from thousands of clones to tens or
hundreds of clone regions is introduced. This reduction of the data is performed such that …

Tumor formation is in part driven by DNA copy number alterations (CNAs), which can be
measured using microarray-based Comparative Genomic Hybridization (aCGH) …

Motivation: Chromosomal copy number changes (aneuploidies) are common in cell
populations that undergo multiple cell divisions including yeast strains, cell lines and tumor …

Alterations in the genome that lead to changes in DNA sequence copy number are a
characteristic of solid tumors and are found in association with developmental abnormalities …