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June 2012 Change-point model on nonhomogeneous Poissonprocesses with application in copy number profiling by next-generationDNA sequencing
Jeremy J. Shen, Nancy R. Zhang
Ann. Appl. Stat. 6(2): 476-496 (June 2012). DOI: 10.1214/11-AOAS517

Abstract

We propose a flexible change-point model for inhomogeneous Poisson Processes, which arise naturally from next-generation DNA sequencing, and derive score and generalized likelihood statistics for shifts in intensity functions. We construct a modified Bayesian information criterion (mBIC) to guide model selection, and point-wise approximate Bayesian confidence intervals for assessing the confidence in the segmentation. The model is applied to DNA Copy Number profiling with sequencing data and evaluated on simulated spike-in and real data sets.

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Jeremy J. Shen. Nancy R. Zhang. "Change-point model on nonhomogeneous Poissonprocesses with application in copy number profiling by next-generationDNA sequencing." Ann. Appl. Stat. 6 (2) 476 - 496, June 2012. https://doi.org/10.1214/11-AOAS517

Information

Published: June 2012
First available in Project Euclid: 11 June 2012

zbMATH: 1243.62112
MathSciNet: MR2976479
Digital Object Identifier: 10.1214/11-AOAS517

Rights: Copyright © 2012 Institute of Mathematical Statistics

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Vol.6 • No. 2 • June 2012
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