Background Genomic hybridization platforms, including BAC-CGH and genotyping arrays,
have been used to estimate chromosome copy number (CN) in tumor samples by detecting …

Genome structural variation includes segmental duplications, deletions, and other
rearrangements, and array-based comparative genomic hybridization (array-CGH) is a …

Background Different cell subpopulations in a single tumor may show diverse capacities for
growth, differentiation, metastasis formation, and sensitivity to treatments. Thus …

Comparative genomic hybridization (CGH) has been widely used to detect copy number
alterations in cancer and to identify regions containing candidate tumor‐responsible genes; …

Microarray-CGH (comparative genomic hybridization) experiments are used to detect and
map chromosomal imbalances. A CGH profile can be viewed as a succession of segments …

Motivation: In recent years, a range of techniques for analysis and segmentation of array
comparative genomic hybridization (aCGH) data have been proposed. For array designs in …

Motivation: The identification of recurrent genomic alterations can provide insight into the
initiation and progression of genetic diseases, such as cancer. Array-CGH can identify …

Single nucleotide polymorphism (SNP) arrays were used to detect chromosomal regions
with DNA copy number alterations. Current statistical methods for microarray-based …

Motivation: Somatic copy number aberrations (SCNAs) are frequent in cancer genomes, but
many of these are random, passenger events. A common strategy to distinguish functional …

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 …