Skip to main content

Piecewise Affine Models of Regulatory Genetic Networks: Review and Probabilistic Interpretation

  • Chapter
Advances in the Theory of Control, Signals and Systems with Physical Modeling

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 407))

Abstract

A formalism based on piecewise-affine (PWA) differential equations has been shown to be well-suited to modelling genetic regulatory networks. In this paper, we first review some results concerning the qualitative study of these models: we partition the phase space into domains bounded by the threshold hyperplanes. Inside each domain, the system is affine. To define solutions on the surfaces of discontinuity, we use the approach of Filippov, which extends the vector field to a differential inclusion. We obtain a transition graph, describing qualitatively the possible transitions of solutions between domains. In a second part of the paper, we give a new probabilistic interpretation of these transitions, by computing the proportion of the volume of the domain that crosses to one of its adjacent domains.We apply this idea to the model of the bistable switch and to parameter estimation from experimental transition probabilities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alon, U.: An introduction to systems biology: design principles of biological circuits. CRC Press, Boca Raton (2007)

    Google Scholar 

  2. Casey, R., de Jong, H., Gouzé, J.L.: Piecewise-linear models of genetic regulatory networks: equilibria and their stability. J. Math. Biol. 52, 27–56 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  3. Chaves, M., Eissing, T., Allgöwer, F.: Bistable biological systems: a characterization through local compact input-to-state stability. IEEE Trans. Automat. Control 53, 87–100 (2008)

    Article  Google Scholar 

  4. de Jong, H.: Modeling and simulation of genetic regulatory systems: A literature review. J. Comput. Biol. 9(1), 67–103 (2002)

    Article  Google Scholar 

  5. de Jong, H., Geiselmann, J., Hernandez, C., Page, M.: Genetic Network Analyzer. Qualitative simulation of genetic regulatory networks 19(3), 336–344 (2003)

    Google Scholar 

  6. de Jong, H., Gouzé, J.-L., Hernandez, C., Page, M., Sari, T., Geiselmann, J.: Qualitative simulation of genetic regulatory networks using piecewise-linear models. Bull. Math. Biol. 66(2), 301–340 (2004)

    Article  MathSciNet  Google Scholar 

  7. Filippov, A.F.: Differential Equations with Discontinuous Righthand Sides. Kluwer Academic Publishers, Dordrecht (1988)

    Google Scholar 

  8. Glass, L., Kauffman, S.A.: The logical analysis of continuous non-linear biochemical control networks. J. Theor. Biol. 39(1), 103–129 (1973)

    Article  Google Scholar 

  9. Gouzé, J.L., Sari, T.: A class of piecewise linear differential equations arising in biological models. Dyn. Syst. 17(4), 299–316 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  10. Grognard, F., Gouzé, J.-L., de Jong, H.: Piecewise-linear models of genetic regulatory networks: theory and example. In: Queinnec, I., Tarbouriech, S., Garcia, G., Niculescu, S. (eds.) Biology and control theory: current challenges. Lecture Notes in Control and Information Sciences (LNCIS), vol. 357, pp. 137–159. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  11. Mestl, T., Plahte, E., Omholt, S.W.: A mathematical framework for describing and analysing gene regulatory networks. J. Theor. Biol. 176(2), 291–300 (1995)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Chaves, M., Gouzé, JL. (2010). Piecewise Affine Models of Regulatory Genetic Networks: Review and Probabilistic Interpretation. In: Lévine, J., Müllhaupt, P. (eds) Advances in the Theory of Control, Signals and Systems with Physical Modeling. Lecture Notes in Control and Information Sciences, vol 407. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16135-3_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-16135-3_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16134-6

  • Online ISBN: 978-3-642-16135-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics