Optimal control of probabilistic Boolean control networks: A scalable infinite horizon approach

One of the major issues in systems biology is developing control theory for gene regulatory networks (GRNs). Particularly, an important objective is to develop therapeutic intervention strategies to alter regulatory dynamics of GRNs to avoid undesired or diseased states. Several optimal control stra...

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Veröffentlicht in:	International journal of robust and nonlinear control 2023-06, Vol.33 (9), p.4945-4966
Hauptverfasser:	Kharade, Sonam, Sutavani, Sarang, Wagh, Sushama, Yerudkar, Amol, Del Vecchio, Carmen, Singh, Navdeep
Format:	Artikel
Sprache:	eng
Schlagworte:	Boolean Control systems Control theory Cost function Horizon Kullback–Leibler control Markov decision processes Markov processes Networks Optimal control parallel processing probabilistic Boolean control networks Probability theory Sampling
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