22. Modelling Transcription Factor Activity

  1. Michael P. H. Stumpf3,
  2. David J. Balding4 and
  3. Mark Girolami5
  1. Martino Barenco1,
  2. Daniel Brewer2,
  3. Robin Callard1 and
  4. Michael Hubank1

Published Online: 12 SEP 2011

DOI: 10.1002/9781119970606.ch22

Handbook of Statistical Systems Biology

Handbook of Statistical Systems Biology

How to Cite

Barenco, M., Brewer, D., Callard, R. and Hubank, M. (2011) Modelling Transcription Factor Activity, 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.ch22

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

    Institute of Child Health, University College London, UK

  2. 2

    Institute of Cancer Research, Sutton, UK

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:

  • modelling transcription factor activity;
  • time course gene expression;
  • ODE formulation;
  • ODE and differential operator;
  • discretisation scheme;
  • Hidden Variable Dynamic Modelling (HVDM);
  • Markov chain Monte Carlo (MCMC);
  • intermediate point estimation

Summary

This chapter contains sections titled:

  • Integrating an ODE with a differential operator

  • Computation of the entries of the differential operator

  • Applications

  • Estimating intermediate points

  • Acknowledgements

  • References