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arXiv · 1206.6627

Change-point model on nonhomogeneous Poisson processes with application in copy number profiling by next-generation DNA sequencing

Jeremy J. Shen·Nancy R. Zhang
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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. 2012-06-28. Change-point model on nonhomogeneous Poisson processes with application in copy number profiling by next-generation DNA sequencing. https://doi.org/10.1214/11-aoas517

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