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 …

Given a set of aligned sequences of independent noisy observations, we are concerned with
detecting intervals where the mean values of the observations change simultaneously in a …

DNA sequence copy number is the number of copies of DNA at a region of a genome.
Cancer progression often involves alterations in DNA copy number. Newly developed …

Changepoint detection methods are used in many areas of science and engineering, for
example, in the analysis of copy number variation data to detect abnormalities in copy …

We have developed a versatile statistical analysis algorithm for the detection of genomic
aberrations in human cancer cell lines. The algorithm analyzes genomic data obtained from …

Motivation: Genomic DNA copy number alterations are characteristic of many human
diseases including cancer. Various techniques and platforms have been proposed to allow …

Abstract Changes in DNA copy number are one of the hallmarks of the genetic instability
common to most human cancers. Previous micro-array-based methods have been used to …

Array comparative genomic hybridization (aCGH) provides a high-resolution and high-
throughput technique for screening of copy number variations (CNVs) within the entire …

Motivation: Comparative genomic hybridization array experiments that investigate gene
copy number changes present new challenges for statistical analysis and call for methods …

Change-point models have been widely applied for segmentation of spatial or time-series
data. Some recent applications in genomics motivate multi-sequence change-point models …