Evolving modular genetic regulatory networks with a recursive, top-down approach

@article{GarciaBernardo2015EvolvingMG,
  title={Evolving modular genetic regulatory networks with a recursive, top-down approach},
  author={Javier Garcia-Bernardo and Margaret J. Eppstein},
  journal={Systems and Synthetic Biology},
  year={2015},
  volume={9},
  pages={179-189}
}
Being able to design genetic regulatory networks (GRNs) to achieve a desired cellular function is one of the main goals of synthetic biology. However, determining minimal GRNs that produce desired time-series behaviors is non-trivial. In this paper, we propose a ‘top-down’ approach to evolving small GRNs and then use these to recursively boot-strap the identification of larger, more complex, modular GRNs. We start with relatively dense GRNs and then use differential evolution (DE) to evolve… 

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