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• W3100435720 abstract "Boolean networks with canalizing functions are used to model gene regulatory networks. In order to learn how such networks may behave under evolutionary forces, we simulate the evolution of a single Boolean network by means of an adaptive walk, which allows us to explore the fitness landscape. Mutations change the connections and the functions of the nodes. Our fitness criterion is the robustness of the dynamical attractors against small perturbations. We find that with this fitness criterion the global maximum is always reached and that there is a huge neutral space of 100% fitness. Furthermore, in spite of having such a high degree of robustness, the evolved networks still share many features with “chaotic” networks." @default.
• W3100435720 created "2020-11-23" @default.
• W3100435720 creator A5045270373 @default.
• W3100435720 creator A5055872152 @default.
• W3100435720 date "2007-04-01" @default.
• W3100435720 modified "2023-10-16" @default.
• W3100435720 title "Evolution of canalizing Boolean networks" @default.
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• W3100435720 doi "https://doi.org/10.1140/epjb/e2007-00135-2" @default.
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