12. Recovering Genetic Network from Continuous Data with Dynamic Bayesian Networks

  1. Michael P. H. Stumpf3,
  2. David J. Balding4 and
  3. Mark Girolami5
  1. Gaëlle Lelandais1 and
  2. Sophie Lèbre2

Published Online: 12 SEP 2011

DOI: 10.1002/9781119970606.ch12

Handbook of Statistical Systems Biology

Handbook of Statistical Systems Biology

How to Cite

Lelandais, G. and Lèbre, S. (2011) Recovering Genetic Network from Continuous Data with Dynamic Bayesian Networks, in Handbook of Statistical Systems Biology (eds M. P. H. Stumpf, D. J. Balding and M. Girolami), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119970606.ch12

Editor Information

  1. 3

    Division of Molecular Biosciences, Imperial College London, UK

  2. 4

    Institute of Genetics, University College London, UK

  3. 5

    Department of Statistical Science, University College London, UK

Author Information

  1. 1

    DSIMB, INSERM, University of Paris Diderot and INTS, Paris, France

  2. 2

    LSIIT, University of Strasbourg, France

Publication History

  1. Published Online: 12 SEP 2011
  2. Published Print: 21 OCT 2011

ISBN Information

Print ISBN: 9780470710869

Online ISBN: 9781119970606

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Keywords:

  • recovering genetic network;
  • regulatory network behaviour;
  • reverse engineering time-homogeneous DBNs;
  • DBNs and time-varying DBNs;
  • time homogeneity assumption;
  • ARTIVA, hypotheses construction

Summary

This chapter contains sections titled:

  • Introduction

  • Reverse engineering time-homogeneous DBNs

  • Go forward: how to recover the structure changes with time

  • Discussion and Conclusion

  • References