Date of this Version
The Annals of Applied Statistics
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.
copy number, CNV, change point, inhomogeneous Poisson process, point-wise confidence interval
Shen, J. J., & Zhang, N. R. (2012). Change-Point Model on Nonhomogeneous Poisson Processes With Application in Copy Number Profiling by Next-Generation DNA Sequencing. The Annals of Applied Statistics, 6 (2), 476-496. http://dx.doi.org/10.1214/11-AOAS517
Date Posted: 27 November 2017
This document has been peer reviewed.