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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.
Rather than getting bogged down in proofs and algorithms, probabilistic methods used for biological information and Bayesian networks are explained in an accessible way using applications and case studies. The many useful applications of Bayesian networks that have been developed in the past 10 years are discussed. Forming a review of all the significant work in the field that will arguably become the most prevalent method in biological data analysis.
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EUR 11,13
De Italie vers Etats-Unis
Description du livre Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur c2ab21cc76bf4e185f3998920ee11509
Description du livre Hardcover. Etat : Brand New. 1st edition. 424 pages. 9.30x7.50x1.10 inches. In Stock. N° de réf. du vendeur __0123704766
Description du livre Paperback. Etat : New. N° de réf. du vendeur 6666-ELS-9780123704764