Petri net modeling of high-order genetic systems using grammatical evolution
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- @Article{moore:2003:BS,
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author = "Jason H. Moore and Lance W. Hahn",
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title = "Petri net modeling of high-order genetic systems using
grammatical evolution",
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journal = "BioSystems",
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year = "2003",
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volume = "72",
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number = "1-2",
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pages = "177--186",
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month = nov,
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keywords = "genetic algorithms, genetic programming, grammatical
evolution",
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DOI = "doi:10.1016/S0303-2647(03)00142-4",
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abstract = "Understanding how DNA sequence variations impact human
health through a hierarchy of biochemical and
physiological systems is expected to improve the
diagnosis, prevention, and treatment of common, complex
human diseases. We have 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 modeling approach uses an
evolutionary computation approach called grammatical
evolution as a search strategy for optimal Petri net
models. We have previously demonstrated that this
approach routinely identifies biochemical network
models that are consistent with a variety of genetic
models in which disease susceptibility is determined by
nonlinear interactions between two DNA sequence
variations. In the present study, we evaluate whether
the Petri net approach is capable of identifying
biochemical networks that are consistent with disease
susceptibility due to higher order nonlinear
interactions between three DNA sequence variations. The
results indicate that our model-building approach is
capable of routinely identifying good, but not perfect,
Petri net models. Ideas for improving the algorithm for
this high-dimensional problem are presented.",
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notes = "PMID: 14642666 [PubMed - indexed for MEDLINE]
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=14642666",
- }
Genetic Programming entries for
Jason H Moore
Lance W Hahn
Citations