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eBook Probabilistic Modelling in Bioinformatics and Medical Informatics download

by Dirk Husmeier,Richard Dybowski,Stephen Roberts

eBook Probabilistic Modelling in Bioinformatics and Medical Informatics download ISBN: 1852337788
Author: Dirk Husmeier,Richard Dybowski,Stephen Roberts
Publisher: Springer; 2005 edition (December 17, 2004)
Language: English
Pages: 504
ePub: 1417 kb
Fb2: 1633 kb
Rating: 4.9
Other formats: azw mbr doc txt
Category: Technologies
Subcategory: Programming

British Library Cataloguing in Publication Data Probabilistic modeling in bioinformatics and . Dirk Husmeier Richard Dybowski Stephen Roberts.

British Library Cataloguing in Publication Data Probabilistic modeling in bioinformatics and medical informatics. The medical-informatics part of the book ends with Chapter 16, a description of several software packages for model development. The chapter includes example codes to illustrate how some of these packages can be used.

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. 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.

The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. This book covers recent advances in the use of probabilistic models in computational molecular biology, bioinformatics and biomedicine. Categories: Medicine.

This book covers recent advances in the use of probabilistic models in computational molecular biology, bioinformatics and biomedicine. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly

All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly.

The role of bioinformatics and its use in the computer science is discussed. It is found that both optimization and probabilistic approach is necessary for development of biology-oriented pattern-matching algorithms. It is observed that the metabolic and signaling pathways can be viewed as a flow chart which describes the behavior of cells and their interaction with the environment.

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.