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Parameter estimation with a novel gradient-based optimization method for biological lattice-gas cellular automaton

Carsten Mente1, Ina Prade, Lutz Brusch

  • 1Department for Innovative Methods of Computing, Center for Information Services and High Performance Computing, Technische Universität Dresden, Nöthnitzer Strasse 46, 01062 Dresden, Germany. carsten.mente@tu-dresden.de

Journal of Mathematical Biology
|October 2, 2010
PubMed
Summary

This study introduces a two-phase optimization algorithm for parameter estimation in lattice-gas cellular automata (LGCAs) models. The method effectively estimates parameters for collective cell behavior, demonstrated using angiogenic pattern formation.

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