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Probabilistic Modeling in Bioinformatics and Medical Informatics

Probabilistic Modeling in Bioinformatics and Medical Informatics

Probabilistic Modeling in Bioinformatics and Medical Informatics

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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.

 

Geschrieben für:

 

 

Post-graduate students, researchers, professionals in fields of medicine; bioinformatics; statistics; machine learning

 

Schlagworte:

 

 

 

 

Bayesian Networks

 

 

 

 

 

Bioinformatics

 

 

 

 

 

Biosignal Analysis

 

 

 

 

 

DNA Sequence Analysis

 

 

 

 

 

Markov Models

 

 

 

 

 

Medical Data Fusion

 

 

 

 

 

Pharmacokinetics

 

 

 

 

 

Probabilistic Modelling

Verlag:
Springer
Autor:
Husmeier, Dirk; Dybowski, Richard; Roberts, Stephen (Hrsg.)
Jahr:
2005
Preis:
79,95 €
Seiten:
504 p., Hardcover
ISBN:
ISBN 978-1-85233-778-0