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Open-Loop Feedback Intervention: Control of gene regulatory networks with unmeasurable context

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5 Author(s)
Babak Faryabi ; Department of Electrical and Computer Engineering, Texas A&M University, College Station, 77843, USA ; Golnaz Vahedi ; Jean-Francois Chamberland ; Aniruddha Datta
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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 of a network context and a gene-activity profile. In practice, however, the network context may not be measurable; 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.

Published in:

2009 IEEE International Workshop on Genomic Signal Processing and Statistics

Date of Conference:

17-21 May 2009