Towards In Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States
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- @InProceedings{Taou:2018:EuroGP,
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author = "Nadia S. Taou and Michael A. Lones",
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title = "Towards In Vivo Genetic Programming: Evolving Boolean
Networks to Determine Cell States",
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booktitle = "EuroGP 2018: Proceedings of the 21st European
Conference on Genetic Programming",
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year = "2018",
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month = "4-6 " # apr,
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editor = "Mauro Castelli and Lukas Sekanina and
Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez",
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series = "LNCS",
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volume = "10781",
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publisher = "Springer Verlag",
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address = "Parma, Italy",
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pages = "151--165",
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organisation = "EvoStar, Species",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-319-77552-4",
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DOI = "doi:10.1007/978-3-319-77553-1_10",
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abstract = "Within the genetic programming community, there has
been growing interest in the use of computational
representations motivated by gene regulatory networks
(GRNs). It is thought that these representations
capture useful biological properties, such as
evolvability and robustness, and thereby support the
evolution of complex computational behaviours. However,
computational evolution of GRNs also opens up
opportunities to go in the opposite direction:
designing programs that could one day be implemented in
biological cells. In this paper, we explore the ability
of evolutionary algorithms to design Boolean networks,
abstract models of GRNs suitable for refining into
synthetic biology implementations, and show how they
can be used to control cell states within a range of
executable models of biological systems.",
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notes = "Part of \cite{Castelli:2018:GP} EuroGP'2018 held in
conjunction with EvoCOP2018, EvoMusArt2018 and
EvoApplications2018",
- }
Genetic Programming entries for
Nadia Solime Taou
Michael A Lones
Citations