Statistics Papers

Document Type

Journal Article

Date of this Version

9-2010

Publication Source

Biometrika

Volume

97

Issue

3

Start Page

631

Last Page

645

DOI

10.1093/biomet/asq025

Abstract

We discuss the problem of detecting local signals that occur at the same location in multiple one dimensional noisy sequences, with particular attention to relatively weak signals that may occur in only a fraction of the sequences. We propose statistics that combine data across sequences and show that they have better power properties and provide a more easily interpreted summary of the data than do procedures based on a separate analysis for each sequence. In particular, we examine the case where the signal is a temporary shift in the mean of independent Gaussian observations. The formulation of the model is motivated by the problem of detecting recurrent DNA copy number variants in multiple samples, and our results are illustrated by applications to data involving DNA copy number changes.

Copyright/Permission Statement

This is a post-peer-review, pre-copyedit version of an article published in Biometrika.

Keywords

boundary crossing, changepoint detection, DNA copy number, meta-analysis, scan statistic, segementation

Included in

Biostatistics Commons

Share

COinS
 

Date Posted: 27 November 2017

This document has been peer reviewed.