OPEN-LOOP FEEDBACK INTERVENTION: CONTROL OF GENE REGULATORY NETWORKS WITH UNMEASURABLE CONTEXT
Additional Document Info
The design of effective therapeutic interventions can be formulated as Markov decision processes in the framework of context-sensitive probabilistic Boolean networks, assuming that the states are measurable. The full state of a context-sensitive probabilistic Boolean network is specified by an ordered pair composed ofa network context and a gene-activity profile. In practice, however, the network context may not be measureable; hence, adaptive methods are required to devise effective therapeutic strategies. To this end, Open-Loop Feedback Intervention that acts as if a form of the certainty equivalence principle would have been held is proposed, and its performance is evaluated.
name of conference
2009 IEEE International Workshop on Genomic Signal Processing and Statistics