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• W3103707579 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." @default.
• W3103707579 created "2020-11-23" @default.
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• W3103707579 creator A5022693767 @default.
• W3103707579 date "2012-06-01" @default.
• W3103707579 modified "2023-09-25" @default.
• W3103707579 title "Change-point model on nonhomogeneous Poisson processes with application in copy number profiling by next-generation DNA sequencing" @default.
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• W3103707579 doi "https://doi.org/10.1214/11-aoas517" @default.
• W3103707579 hasPublicationYear "2012" @default.
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