Open-Loop Feedback Intervention: Control of gene regulatory networks with unmeasurable context
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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 (GENSIPS)
2009 IEEE International Workshop on Genomic Signal Processing and Statistics
author list (cited authors)
Faryabi, B., Vahedi, G., Chamberland, J., Datta, A., & Dougherty, E. R.
complete list of authors
Faryabi, Babak||Vahedi, Golnaz||Chamberland, Jean-Francois||Datta, Aniruddha||Dougherty, Edward R