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Advanced Information and Knowledge Processing

Probabilistic Modeling in Bioinformatics and Medical Informatics

Editors: Husmeier, Dirk, Dybowski, Richard, Roberts, Stephen (Eds.)

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eBook $159.00
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  • ISBN 978-1-84628-119-8
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Hardcover $209.00
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  • ISBN 978-1-85233-778-0
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Softcover $209.00
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  • ISBN 978-1-84996-912-3
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About this book

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.

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)


Table of contents (6 chapters)

  • Introduction to Learning Bayesian Networks from Data

    Dirk Husmeier

    Pages 17-57

  • Introduction to Statistical Phylogenetics

    Dirk Husmeier

    Pages 83-145

  • Inferring Genetic Regulatory Networks from Microarray Experiments with Bayesian Networks

    Dirk Husmeier

    Pages 239-267

  • Modeling Genetic Regulatory Networks using Gene Expression Profiling and State-Space Models

    Claudia Rangel, John Angus, Zoubin Ghahramani, David L. Wild

    Pages 269-293

  • Bayesian Analysis of Population Pharmacokinetic/Pharmacodynamic Models

    David J. Lunn

    Pages 351-370

Buy this book

eBook $159.00
price for USA
  • ISBN 978-1-84628-119-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $209.00
price for USA
  • ISBN 978-1-85233-778-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-1-84996-912-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Probabilistic Modeling in Bioinformatics and Medical Informatics
Editors
  • Dirk Husmeier
  • Richard Dybowski
  • Stephen Roberts
Series Title
Advanced Information and Knowledge Processing
Copyright
2005
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
Distribution Rights
Distribution rights In India: Ane Books India, New Delhi, India
eBook ISBN
978-1-84628-119-8
DOI
10.1007/b138794
Hardcover ISBN
978-1-85233-778-0
Softcover ISBN
978-1-84996-912-3
Series ISSN
1610-3947
Edition Number
1
Number of Pages
XX, 508
Topics