OPEN-LOOP FEEDBACK INTERVENTION: CONTROL OF GENE REGULATORY NETWORKS WITH UNMEASURABLE CONTEXT Conference Paper

abstract

• 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

authors

• Chamberland-Tremblay, Jean-Francois
• Datta, Aniruddha
• Dougherty, Edward

published proceedings

• 2009 IEEE INTERNATIONAL WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS (GENSIPS 2009)

author list (cited authors)

• Faryabi, B., Vahedi, G., Chamberland, J., Datta, A., & Dougherty, E. R.

citation count

• 0

complete list of authors

• Faryabi, Babak||Vahedi, Golnaz||Chamberland, Jean-Francois||Datta, Aniruddha||Dougherty, Edward R

publication date

• January 2009

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE International Workshop on Genomic Signal Processing and Statistics : [proceedings]. IEEE International Workshop on Genomic Signal Processing and Statistics  Journal

Digital Object Identifier (DOI)

• 10.1109/gensips.2009.5174326

International Standard Book Number (ISBN) 13

• 978-1-4244-4531-8

start page

• 19

end page

• 20

volume

• 1