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Synopsis
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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Review
From the reviews:
"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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Probabilistic Modeling in Bioinformatics and Medical Informatics
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Hardcover. Condition: Very Good. Content Description. A comprehensive interdisciplinary treatment of probabilistic methods in bioinformatics and medical informatics, bringing together statistical modeling, computational biology, machine learning, and biomedical applications. Topics include Bayesian networks, statistical inference, neural networks, phylogenetics, DNA sequence analysis, microarray gene-expression analysis, genetic regulatory networks, pharmacokinetics, biosignal analysis, Hidden Markov models, and probabilistic approaches to clinical and medical data. Written for researchers and advanced students in statistics, informatics, computational biology, bioinformatics, and medical informatics. Part of Springer's Advanced Information and Knowledge Processing series. Condition Description. Very Good. Unused, apparently unread copy acquired from a bookseller specializing in publisher and distributor overstock, sold to me as New. Interior and page edges are clean, with no writing, highlighting, ownership marks, or other signs of use. Hardcover boards show shelf/storage rubbing and bumped corners, consistent with warehouse storage and handling. Binding remains tight and sound. Conservatively graded Very Good because of the exterior storage wear. Photos are of the actual copy offered for sale. Seller Inventory # CEBP - 008
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Probabilistic Modelling in Bioinformatics and Medical Informatics
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Probabilistic Modeling in Bioinformatics and Medical Informatics
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ISBN 10: 1852337788
ISBN 13: 9781852337780
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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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Probabilistic Modeling in Bioinformatics and Medical Informatics
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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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Probabilistic Modeling in Bioinformatics and Medical Informatics
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Probabilistic Modeling in Bioinformatics and Medical Informatics
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 modelling, 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 KG, Sachsenplatz 4-6, 1201 Wien 524 pp. Englisch. Seller Inventory # 9781852337780
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Probabilistic Modeling in Bioinformatics and Medical Informatics
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Condition: New. Print on Demand pp. 528 Illus. Seller Inventory # 7558390
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Probabilistic Modeling in Bioinformatics and Medical Informatics
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Condition: New. PRINT ON DEMAND pp. 528. Seller Inventory # 18322339
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Probabilistic Modeling in Bioinformatics and Medical Informatics
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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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