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

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£159.99
Hardback 508 Pages / Published: 01/02/2005
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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.

Publisher: Springer London Ltd
ISBN: 9781852337780
Number of pages: 508
Weight: 2010 g
Dimensions: 235 x 155 x 28 mm
Edition: 2005 ed.


MEDIA REVIEWS

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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