Intervention in gene regulatory networks via greedy control policies based on long-run behavior

@article{Qian2009InterventionIG,
  title={Intervention in gene regulatory networks via greedy control policies based on long-run behavior},
  author={Xiaoning Qian and Ivan Ivanov and Noushin Ghaffari and Edward R. Dougherty},
  journal={BMC Systems Biology},
  year={2009},
  volume={3},
  pages={61 - 61}
}
A salient purpose for studying gene regulatory networks is to derive intervention strategies, the goals being to identify potential drug targets and design gene-based therapeutic intervention. Optimal stochastic control based on the transition probability matrix of the underlying Markov chain has been studied extensively for probabilistic Boolean networks. Optimization is based on minimization of a cost function and a key goal of control is to reduce the steady-state probability mass of… CONTINUE READING
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