A Markovian approach to the control of genetic regulatory networks

@article{Chen2007AMA,
  title={A Markovian approach to the control of genetic regulatory networks},
  author={Peter C. Y. Chen and Jeremy W. Chen},
  journal={Bio Systems},
  year={2007},
  volume={90 2},
  pages={535-45}
}
This paper presents an approach for controlling gene networks based on a Markov chain model, where the state of a gene network is represented as a probability distribution, while state transitions are considered to be probabilistic. An algorithm is proposed to determine a sequence of control actions that drives (without state feedback) the state of a given… CONTINUE READING