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External control of a gene regulatory network is used for the purpose of avoiding undesirable states, such as those associated with disease. Certain types of cancer therapies are given in cycles: each treatment is followed by a recovery phase. In a recovery phase, the side effects tend to gradually degrade. Here, an intervention strategy that simulates cyclic therapies is proposed. It is shown how...
Probabilistic Boolean networks are a class of rule-based models for gene regulatory networks. This class of models is used to design optimal therapeutic intervention strategies. While synchronous probabilistic Boolean networks have been investigated in detail in the literature, no similar endeavor has been completed for asynchronous networks. This paper addresses this issue by introducing an asynchronous...
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