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Richard E. Neapolitan, "Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks"

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This book provides background material on probability, statistics, and genetics, and then moves on to discuss Bayesian networks and applications to bioinformatics.

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	Technical Introduction to Mathematical Methods in Bioinformatics Publisher: SpringerLanguage: EnglishISBN: 3540219730Paperback: 304 pagesData: 2006Format: PDFDescription: This book looks at the mathematical foundations of the models currently in use. This is crucial for the correct interpretation of the ...
	Science/Engineering Bayesian Networks and Probabilistic Inference in Forensic Science Franco Taroni, Colin Aitken , Paolo Garbolino, Alex Biedermann , "Bayesian Networks and Probabilistic Inference in Forensic Science" Wiley (April 28, 2006) \| ISBN:0470091738 \| 372 pages \| PDF \| 1,8 Mb Mirror -> ...
	Science/Engineering Bayesian Networks and Probabilistic Inference in Forensic Science (Statistics in Practice) Bayesian Networks and Probabilistic Inference in Forensic Science (Statistics in Practice) Wiley \| 2006-04-28 \| ISBN: 0470091738 \| 372 pages \| PDF \| 2MB The amount of information forensic scientists are able to offer is ever ...
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	Technical Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks (Information Science and Statistics) ISBN: 0387987673 Publisher: Springer Author: Robert G. Cowell, Philip Dawid, Steffen L. Lauritzen, David J. SpiegelhalterDescription:Winner of the 2002 DeGroot Prize. Awarded by the International Society for Bayesian Analysis to a book judg ...

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