Bayesian local false discovery rate for sparse count data with application to the discovery of hotspots in protein domains

ANNALS OF APPLIED STATISTICS(2021)

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摘要
Biostatistics Group, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia ∗, Department of Statistics, Seoul National University, Korea †, Department of Biological Sciences, University of Maryland, Baltimore County, MD, USA ‡, University of California, San Francisco, Institute for Computational Health Science, CA, USA §, Department of Mathematics and Statistics, University of Maryland Baltimore County, MD, USA¶
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关键词
Bayesian local false discovery rate, sparse count data, zero-inflated generalized Poisson, protein domains
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