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Modelling gene expression using stochastic simulation

  • Lars Kuepfer
  • Uwe Sauer
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 39)

Abstract

Deterministic simulation of biological processes represents only a loose description of the actual intracellular mechanisms due to the small number of many molecular species involved in the regulatory circuits. Mesoscopic modelling that considers the systemic key species as integer numbers on a statistical basis was used in the present case study to solve a two gene sample problem in a eucaryotic cell. The results obtained with Gillespie’s stochastic simulation algorithm were compared to the deterministic integration.

Keywords

Stochastic Simulation Stochastic Simulation Algorithm Chemical Master Equation Otic Cell Deterministic Integration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Lars Kuepfer
    • 1
  • Uwe Sauer
  1. 1.Institute of BiotechnologyETH ZürichZürichSwitzerland

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