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. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains...

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Bibliographic Details
Main Author:	Neapolitan, Richard E.
Format:	eBook
Language:	English
Published:	Amsterdam ; Boston : Morgan Kaufmann/Elsevier, [2009]
Subjects:	Bioinformatics. Bayesian statistical decision theory. Probabilities. Electronic books. Bioinformatics. Bayesian statistical decision theory. Probabilities.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

I: Informatics and Baysesian Networks; Introduction to Informatics; Basics of Probability and Statistics; Algorithms for Bayesian Networks; Decision Trees and Influence Diagrams. II Bioinformatics: Background; Applications to Molecular Phylogenetics; Gene Linkage Analysis; Analyzing Gene Expression Data; and more.