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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. This book provides background material on probability, statistics, and genetics, and then moves on to discuss Bayesian networks and applications to bioinformati...
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| Format: | Printed Book |
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Amsterdam ; Boston
Morgan Kaufmann/Elsevier
2009
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Table of Contents:
- Background. Probalistic 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.