Da: Your Online Bookstore, Houston, TX, U.S.A.
hardcover. Condizione: Good.
Editore: Morgan Kaufmann Publishers, 2009
ISBN 10: 0123704766 ISBN 13: 9780123704764
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 60,80
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 424 pages. 9.30x7.50x1.10 inches. In Stock.
Editore: Elsevier Science & Technology, 2009
ISBN 10: 0123704766 ISBN 13: 9780123704764
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 72,50
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Revaluation Books, Exeter, Regno Unito
EUR 105,22
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 420 pages. 9.25x7.50x0.95 inches. In Stock.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 116,65
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Like New. Like New. Ships from Multiple Locations. book.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 401,26
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 56,55
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 79,54
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.