The incorporation of epigenetics in artificial gene regulatory networks

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@Article{turner2013incorporation,
  author =       "Alexander P. Turner and Michael A. Lones and 
                 Luis A. Fuente and Susan Stepney and Leo S. D. Caves and 
                 Andy M. Tyrrell",
  title =        "The incorporation of epigenetics in artificial gene
                 regulatory networks",
  journal =      "Biosystems",
  volume =       "112",
  number =       "2",
  pages =        "56--62",
  year =         "2013",
  month =        may,
  note =         "Selected papers from the 9th International Conference
                 on Information Processing in Cells and Tissues",
  keywords =     "genetic algorithms, genetic programming, Artificial
                 gene regulation, Epigenetics, Dynamical systems, Chaos
                 control, Evolutionary algorithms",
  publisher =    "Elsevier",
  ISSN =         "0303-2647",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0303264713000579",
  DOI =          "doi:10.1016/j.biosystems.2013.03.013",
  abstract =     "Artificial gene regulatory networks are computational
                 models that draw inspiration from biological networks
                 of gene regulation. Since their inception they have
                 been used to infer knowledge about gene regulation and
                 as methods of computation. These computational models
                 have been shown to possess properties typically found
                 in the biological world, such as robustness and self
                 organisation. Recently, it has become apparent that
                 epigenetic mechanisms play an important role in gene
                 regulation. This paper describes a new model, the
                 Artificial Epigenetic Regulatory Network (AERN) which
                 builds upon existing models by adding an epigenetic
                 control layer. Our results demonstrate that AERNs are
                 more adept at controlling multiple opposing
                 trajectories when applied to a chaos control task
                 within a conservative dynamical system, suggesting that
                 AERNs are an interesting area for further
                 investigation.",
  notes =        "PMID: 23499812",
}

Genetic Programming entries for Alexander P Turner Michael A Lones Luis A Fuente Susan Stepney Leo Caves Andrew M Tyrrell

Citations