Author: Richard E. Neapolitan
Edition: 1
Binding: Hardcover
ISBN: 0123704766
Publisher: Morgan Kaufmann
Features:
Edition: 1
Binding: Hardcover
ISBN: 0123704766
Publisher: Morgan Kaufmann
Features:
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. Search and download computer ebooks 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. Download Probabilistic Methods for Bioinformatics computer ebooks
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: With An Introduction To Bayesian Netwo
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 Free
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
