An Improved Grammatical Evolution Strategy for Hierarchical Petri Net Modeling of Complex Genetic Systems
Created by W.Langdon from
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- @InProceedings{moore:evows04,
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author = "Jason Moore and Lance Hahn",
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title = "An Improved Grammatical Evolution Strategy for
Hierarchical Petri Net Modeling of Complex Genetic
Systems",
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booktitle = "Applications of Evolutionary Computing,
EvoWorkshops2004: {EvoBIO}, {EvoCOMNET}, {EvoHOT},
{EvoIASP}, {EvoMUSART}, {EvoSTOC}",
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year = "2004",
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month = "5-7 " # apr,
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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",
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series = "LNCS",
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volume = "3005",
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address = "Coimbra, Portugal",
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publisher = "Springer Verlag",
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publisher_address = "Berlin",
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pages = "63--72",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution, evolutionary computation",
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ISBN = "3-540-21378-3",
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DOI = "doi:10.1007/978-3-540-24653-4_7",
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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.",
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notes = "EvoWorkshops2004",
- }
Genetic Programming entries for
Jason H Moore
Lance W Hahn
Citations