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Probabilistic Modeling in Bioinformatics and Medical Informatics (Advanced Information and Knowledge Processing) - Hardcover

 
9781852337780: Probabilistic Modeling in Bioinformatics and Medical Informatics (Advanced Information and Knowledge Processing)

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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.

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"This book is a collection of chapters describing methods of statistical analysis of medical and biological data, with a focus on mathematical descriptions and implementing algorithms. ... It will be particularly useful for those who are interested in a better understanding of artificial neutral networks ... . Generally, it is a refreshing book for a statistician ... giving a good description of a wide variety of complex models." (Natalia Bochkina, Significance, Vol. 3 (3), 2006)

"This book covers recent advances in the use of probabilistic models in computational molecular biology, bioinformatics and biomedicine. ... A self-contained chapter on statistical inference is included as well as a discussion of Bayesian networks as a common and unifying framework for probabilistic modeling. The book has been written for researchers and students in statistics, informatics, and biological sciences ... . Finally, an appendix explains the conventions and notation used throughout the book." (T. Postelnicu, Zentralblatt MATH, Vol. 1151, 2009)

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Published by Springer, 2005
ISBN 10: 1852337788 ISBN 13: 9781852337780
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Husmeier, D.|Dybowski, R.|Roberts, S.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. There is currently no other book that provides a contemporary survey of probabilistic models in both bio-medicine and bio-informaticsAn internet site will accompany the bookProbabilistic Modelling in Bioinformatics and Medical Info. Seller Inventory # 4289779

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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 524 pp. Englisch. Seller Inventory # 9781852337780

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9781852337780

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Buch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 524 pp. Englisch. Seller Inventory # 9781852337780

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