Probabilistic Modeling in Bioinformatics and Medical Informatics
Language: English
Published by Springer, London, 2005
- Hardcover
- Used





Seller: Center for Evidence-Based Programming, Hot Springs National Park, AR, U.S.A.Center for Evidence-Based Programming
AbeBooks seller since August 27, 2026
Condition: Used - Very good
US$ 109.95
Quantity: 1 available
Add to basketItem description from seller
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
- Title
- Probabilistic Modeling in Bioinformatics and Medical Informatics
- Author
- Dirk Husmeier, Richard Dybowski and Stephen Roberts, editors
- Publisher
- Springer, London
- Publication year
- 2005
- Condition
- Very good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1852337788
- ISBN 13
- 9781852337780
- Item weight
- 2 pounds
- Dimensions
- 6.1 inches width by 9.25 inches height by 1.1 inches depth
"Synopsis" may belong to another edition of this title.
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)
"About the title" may belong to another edition of this title.
Center for Evidence-Based Programming
Hot Springs National Park, AR, U.S.A.
AbeBooks seller since August 27, 2026
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I am a retired university professor/research dean. At 76 I still actively work in research and evaluation, and publish in scholarly journals. Our store carries academic/scholarly books, as well as older first editions.
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Center for Evidence-Based Programming
AR, U.S.A.