Isbn: 9780123704764 - probabilistic methods for bioinformatics: with an introduction to bayesian networks (5 resultados)

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Librería: Your Online Bookstore, Houston, TX, Estados Unidos de AmericaYour Online Bookstore
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EUR 14,49
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hardcover. Condición: Very Good.

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Librería: Goodwill of Colorado, COLORADO SPRINGS, CO, Estados Unidos de AmericaGoodwill of Colorado
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EUR 14,50
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Condición: very_good. Item may have minor cosmetic defects marks, wears, cuts, bends, crushes on the cover, spine, pages or dust cover. Shrink wrap, dust covers, or boxed set case may be missing. Item may contain remainder marks on outside edges, which should be noted in Product Details. Item may be missing bundled media.…

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Librería: Greenworld Books, arlington, TX, Estados Unidos de AmericaGreenworld Books
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EUR 15,37
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Condición: very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy.

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Librería: Anybook.com, Lincoln, Reino UnidoAnybook.com
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EUR 25,68
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Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:9780123704764. …

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 58,95
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 424 pp. Englisch.…