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Probabilistic Methods for Bioinformatics With an Introduction to Bayesian Networks

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ISBN-10: 0123704766

ISBN-13: 9780123704764

Edition: 2009

Authors: Richard E. Neapolitan

List price: $76.95
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Description:

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 Financial and Marketing Informatics covers two of the most important applications of informatics and concentrates on approaches to solving realistic business problems. This book provides applications of informatics to areas such as managerial options and decision making, investment science, marketing, and data mining, concentrating on the probabilistic and decision-theoretic approaches to informatics, emphasizing the…    
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Book details

List price: $76.95
Copyright year: 2009
Publisher: Elsevier Science & Technology
Publication date: 5/12/2009
Binding: Hardcover
Pages: 424
Size: 7.50" wide x 9.21" long x 1.25" tall
Weight: 1.980
Language: English

Richard E. Neapolitan is professor and Chair of Computer Science at Northeastern Illinois University. He has previously written four books including the seminal 1990 Bayesian network text Probabilistic Reasoning in Expert Systems. More recently, he wrote the 2004 text Learning Bayesian Networks, the textbook Foundations of Algorithms, which has been translated to three languages and is one of the most widely-used algorithms texts world-wide, and the 2007 text Probabilistic Methods for Financial and Marketing Informatics (Morgan Kaufmann Publishers).

Background
Probabilistic Informatics
Probability Basics
Statistics Basics
Genetics Basics
Bayesian Networks
Foundations of Bayesian Networks
Further Properties of Bayesian Networks
Learning Bayesian Network Parameters
Learning Bayesian Network Structure
Bioinformatics Applications
Nonmolecular Evolutionary Genetics
Molecular Evolutionary Genetics
Molecular Phylogenetics
Analyzing Gene Expression Data
Genetic-Linkage Analysis