High-throughput oligonucleotide microarrays are commonly employed to investigate genetic
disease, including cancer. The algorithms employed to extract genotypes and copy number …

Abstract Analysis of DNA copy number profiles requires methods tailored to the specific
nature of these data. The number of available data analysis methods has grown enormously …

Abstract Hidden Markov models (HMMs) and related models have become standard in
statistics during the last 15--20 years, with applications in diverse areas like speech and …

We propose a flexible non-parametric specification of the emission distribution in hidden
Markov models and we introduce a novel methodology for carrying out the computations …

The statistical analysis of array comparative genomic hybridization (CGH) data has now
shifted to the joint assessment of copy number variations at the cohort level. Considering …

Array-based comparative genomic hybridization (aCGH) enables the measurement of DNA
copy number across thousands of locations in a genome. The main goals of analyzing …

The elucidation of the human and mouse genome sequence and developments in high-
throughput genome analysis, and in computational tools, have made it possible to profile …

UP and DOWN states, the periodic fluctuations between increased and decreased spiking
activity of a neuronal population, are a fundamental feature of cortical circuits …

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

Motivation: The post-genome era sees urgent need for more novel approaches to extracting
useful information from the huge amount of genetic data. The identification of recurrent copy …