An Improved Grammatical Evolution Strategy for Hierarchical Petri Net Modeling of Complex Genetic Systems

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@InProceedings{moore:evows04,
  author =       "Jason Moore and Lance Hahn",
  title =        "An Improved Grammatical Evolution Strategy for
                 Hierarchical Petri Net Modeling of Complex Genetic
                 Systems",
  booktitle =    "Applications of Evolutionary Computing,
                 EvoWorkshops2004: {EvoBIO}, {EvoCOMNET}, {EvoHOT},
                 {EvoIASP}, {EvoMUSART}, {EvoSTOC}",
  year =         "2004",
  month =        "5-7 " # apr,
  editor =       "Guenther R. Raidl and Stefano Cagnoni and 
                 Jurgen Branke and David W. Corne and Rolf Drechsler and 
                 Yaochu Jin and Colin R. Johnson and Penousal Machado and 
                 Elena Marchiori and Franz Rothlauf and George D. Smith and 
                 Giovanni Squillero",
  series =       "LNCS",
  volume =       "3005",
  address =      "Coimbra, Portugal",
  publisher =    "Springer Verlag",
  publisher_address = "Berlin",
  pages =        "63--72",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution, evolutionary computation",
  ISBN =         "3-540-21378-3",
  DOI =          "doi:10.1007/978-3-540-24653-4_7",
  abstract =     "DNA sequence variations impact human health through a
                 hierarchy of biochemical and physiological systems.
                 Understanding the hierarchical relationships in the
                 genotype-phenotype mapping is expected to improve the
                 diagnosis, prevention, and treatment of common, complex
                 human diseases. We previously developed a hierarchical
                 dynamic systems approach based on Petri nets for
                 generating biochemical network models that are
                 consistent with genetic models of disease
                 susceptibility. This strategy uses an evolutionary
                 computation approach called grammatical evolution for
                 symbolic manipulation and optimization of Petri net
                 models. We previously demonstrated that this approach
                 routinely identifies biochemical network models that
                 are consistent with a variety of complex genetic models
                 in which disease susceptibility is determined by
                 nonlinear interactions between two DNA sequence
                 variations. However, the modeling strategy was
                 generally not successful when extended to modelling
                 nonlinear interactions between three DNA sequence
                 variations. In the present study, we evaluate a
                 modified grammar for building Petri net models of
                 Riochemical systems that are consistent with high order
                 genetic models of disease susceptibility. The results
                 indicate that our hierarchical model building approach
                 is capable of identifying perfect Petri net models when
                 an appropriate grammar is used.",
  notes =        "EvoWorkshops2004",
}

Genetic Programming entries for Jason H Moore Lance W Hahn

Citations