Probabilistic modeling in bioinformatics and medical informatics
By: Dirk Husmeier, Richard Dybowski, and Stephen Roberts (eds.).
Contributors: Husmeier, Dirk, 1964-; Dybowski, Richard, 1951-; Roberts, Stephen, 1965-
Series: Advanced information and knowledge processing
Publisher: Springer
Published: 2005
Place of publication: London
Language: eng
Number of pages: 504
Subjects: Bioinformatics -- Methodology; Medical informatics -- Methodology; Bayesian statistical decision theory; Computational Biology -- methods; Medical Informatics -- methods; Models, Statistical; Bayes Theorem
Description: Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.
Notes: Includes bibliographical references and index.