Librería: Your Online Bookstore, Houston, TX, Estados Unidos de America
EUR 51,40
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Añadir al carritohardcover. Condición: Good.
Publicado por Morgan Kaufmann Publishers, 2009
ISBN 10: 0123704766 ISBN 13: 9780123704764
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 63,48
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 424 pages. 9.30x7.50x1.10 inches. In Stock.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 109,86
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Añadir al carritoPaperback. Condición: Brand New. 420 pages. 9.25x7.50x0.95 inches. In Stock.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 121,79
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Añadir al carritoHardcover. Condición: Like New. Like New. book.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 196,08
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Añadir al carritopaperback. Condición: New. New. book.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 78,57
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Unique coverage of probabilistic reasoning methods applied to bioinformatics data--those methods that are likely to become the standard analysis tools for bioinformatics. Shares insights about when and why probabilistic methods can and cannot be used effectively; Complete review of Bayesian networks and probabilistic methods with a practical approach.