Computing with artificial gene regulatory networks

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InCollection{lones2016computing,

• author = "Michael A. Lones",
• title = "Computing with artificial gene regulatory networks",
• booktitle = "Evolutionary Computation in Gene Regulatory Network Research",
• year = "2016",
• editor = "Hitoshi Iba and Nasimul Noman",
• chapter = "15",
• pages = "398-",
• month = mar,
• publisher = "John Wiley \& Sons",
• keywords = "genetic algorithms, genetic programming, artificial gene regulatory network, biological gene regulatory network, computational models",
• isbn13 = "978-1-118-91151-8",
• URL = "http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118911512,subjectCd-LSG0.html",
• DOI = "doi:10.1002/9781119079453.ch15",
• size = "27 pages",
• abstract = "Gene regulatory networks (GRNs) are the fundamental mechanisms through which biological organisms control their growth, their dynamical behaviour, their interaction with their environment, and which underlie much of the complexity in the biosphere. This chapter reviews current understanding of artificial gene regulatory network (AGRN), discussing what is known about their computational properties, detailing how they have been applied to computational problems, and speculating about how they may be used in the future. It discusses what is known about biological GRNs, and the implications this has for the design of AGRNs. The chapter presents the different motivations behind the development of AGRN models. It also discusses the modelling decisions that have to be made when developing AGRN models. AGRNs give the opportunity to explore analogous behaviors within a more general setting, which, in turn, might lead to a better understanding of the general properties of GRNs.",

}

Genetic Programming entries for Michael A Lones

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