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. Get and download textbook Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks for free
Probabilistic Methods for Bioinformatics: With and Introduction to Bayesian Networks, ISBN-13: 9780123704764, ISBN-10: 0123704766
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 Probabilistic Methods for Bioinformatics new edition
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author richard e neapolitan author xia jiang format hardback language english publication year 12 05 2009 subject mathematics sciences subject 2 mathematics payment shipping rates returns probabilistic methods for bioinformatics with an introduction to bayesian networks product category books isbn 0123704766 title probabilistic methods for bioinformatics with an introduction to bayesian networks ean 9780123704764 authors neapolitan binding hardcover publisher morgan kaufmann publication date 200
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TheNile.com.au About FAQ Payment Delivery Contact Us 1800-987-323 Probabilistic Methods for Bioinformatics: With an Introduction to Bayesian Networks by Richard E. Neapolitan Format Hardcover Condition Brand New The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. This book provides background material on probability, statistics, and genetics, and then moves on to discuss Bayesian networks and applications to
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 a
Rather than getting bogged down in proofs a
Probabilistic Methods for Bioinformatics Textbook
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
