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• W2489331698 abstract "The detection of local genomic signals using high-throughput DNA sequencing data can be cast as a problem of scanning a Poisson random field for local changes in the rate of the process. We propose a likelihood-based framework for such scans, and derive formulas for false positive rate control and power calculations. The framework can also accommodate modified processes that involve overdispersion. As a specific, detailed example, we consider the detection of insertions and deletions by paired-end DNA-sequencing. We propose several statistics for this problem, compare their power under current experimental designs, and illustrate their application on an Illumina Platinum Genomes data set." @default.
• W2489331698 created "2016-08-23" @default.
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• W2489331698 date "2016-06-01" @default.
• W2489331698 modified "2023-10-14" @default.
• W2489331698 title "Scan statistics on Poisson random fields with applications in genomics" @default.
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• W2489331698 doi "https://doi.org/10.1214/15-aoas892" @default.
• W2489331698 hasPublicationYear "2016" @default.
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