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Bayesian Modeling in Bioinformatics
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DescrizioneOne of the most comprehensive published references on this topic to date, this volume fills the gap in the vast but scattered literature on Bayesian bioinformatics and biostatistics. It presents the perspectives of Bayesian experts on important developments in bioinformatics and biostatistics from two unique standpoints. The book first looks at how to conceptualize, perform, and criticize traditional bioinformatics and biostatistics from a Bayesian perspective. Secondly, it examines how to use modern computational methods to summarize inferences using simulation. The book also explores emerging research topics.
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