We discuss the detection of local signals that occur at the same location in multiple one-
dimensional noisy sequences, with particular attention to relatively weak signals that may …

For a biological sample, the DNA copy number of a genomic region is defined as the
number of copies of the DNA in that region within the genome of the sample, relative to …

Array-based comparative genomic hybridization (aCGH) is a high-resolution, high-
throughput technique for studying the genetic basis of cancer. The resulting data consist of …

Motivation: Tumorigenesis is an evolutionary process by which tumor cells acquire
sequences of mutations leading to increased growth, invasiveness and eventually …

We develop a sticky hidden Markov model (HMM) with a Dirichlet distribution (DD) prior,
motivated by the problem of analyzing comparative genomic hybridization (CGH) data. As …

Mixture models, or convex combinations of a countable number of probability distributions,
offer an elegant framework for inference when the population of interest can be subdivided …

Array comparative genomic hybridization (aCGH) allows identification of copy number
alterations across genomes. The key computational challenge in analyzing copy number …

Motivation: Array comparative genomic hybridization (arrayCGH) is widely used to measure
DNA copy numbers in cancer research. ArrayCGH data report log-ratio intensities of …

As an extension to hidden Markov models, the hidden semi-Markov models allow the
probability distribution of staying in the same state to be a general distribution. Therefore …

High-density single-nucleotide polymorphism (SNP) microarrays provide a useful tool for the
detection of copy number variants (CNVs). The analysis of such large amounts of data is …