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Probabilistic Modeling in Bioinformatics and Medical Informatics

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Probabilistic Modeling in Bioinformatics and Medical Informatics 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.

About This Edition

ISBN: 9781849969123
Publication date:
Author: Dirk Husmeier, Richard Dybowski, Stephen Roberts
Publisher: Springer an imprint of Springer London
Format: Paperback
Pagination: 508 pages
Series: Advanced Information and Knowledge Processing
Genres: Maths for computer scientists
Computational biology / bioinformatics
Algorithms and data structures
Computer applications in industry and technology
Mathematical theory of computation
Probability and statistics

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