Probabilistic Modeling in Bioinformatics and Medical Informatics

  • Dirk Husmeier
  • Richard Dybowski
  • Stephen Roberts

Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Probabilistic Modeling

  3. Bioinformatics

    1. Dirk Husmeier
      Pages 83-145
    2. Dirk Husmeier, Frank Wright
      Pages 147-190
    3. Magnus Rattray, Paul G. Higgs
      Pages 191-210
    4. Claus-Dieter Mayer, Chris A. Glasbey
      Pages 211-238
    5. Claudia Rangel, John Angus, Zoubin Ghahramani, David L. Wild
      Pages 269-293
  4. Medical Informatics

    1. Richard Dybowski, Stephen Roberts
      Pages 297-349
    2. Ian T. Nabney, David J. Evans, Yann Brulé, Caroline Gordon
      Pages 371-389
    3. Peter Sykacek, Iead Rezek, Stephen Roberts
      Pages 391-417
    4. Steen Andreassen, Leonard Leibovici, Mical Paul, Anders D. Nielsen, Alina Zalounina, Leif E. Kristensen et al.
      Pages 451-472
  5. Back Matter
    Pages 491-504

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.


DNA STATISTICA bioinformatics biology calculus classification hidden markov model informatics medical informatics microarray microbiology modeling networks population statistics

Editors and affiliations

  • Dirk Husmeier
    • 1
  • Richard Dybowski
    • 2
  • Stephen Roberts
    • 3
  1. 1.Biomathematics and Statistics-BioSSUK
  2. 2.InferSpaceUK
  3. 3.Oxford UniversityUK

Bibliographic information