NR Zhang, DO Siegmund, H Ji, JZ Li - Biometrika, 2010 - academic.oup.com
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 …
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 …
Motivation: High-throughput techniques facilitate the simultaneous measurement of DNA copy number at hundreds of thousands of sites on a genome. Older techniques allow …
We propose a flexible change-point model for inhomogeneous Poisson Processes, which arise naturally from next-generation DNA sequencing, and derive score and generalized …
N Hao, YS Niu, H Zhang - Statistica Sinica, 2013 - ncbi.nlm.nih.gov
Abstract Let Y 1,…, Y n be a sequence whose underlying mean is a step function with an unknown number of the steps and unknown change points. The detection of the change …
Objective The authors used a genome-wide association study (GWAS) of multiply affected families to investigate the association of schizophrenia to common single-nucleotide …
G Nowak, T Hastie, JR Pollack, R Tibshirani - Biostatistics, 2011 - academic.oup.com
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 …
AK Martin, B Mowry - Psychological medicine, 2016 - cambridge.org
BackgroundA significant number of patients with schizophrenia fail to respond to antipsychotic medication. Although several studies have investigated associated patient …
After a brief review of previous frequentist and Bayesian approaches to multiple change- points, we describe a Bayesian model for multiple parameter changes in a multiparameter …