Open-Loop Feedback Intervention: Control of gene regulatory networks with unmeasurable context Conference Paper uri icon

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 (GENSIPS)

published proceedings

  • 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.

citation count

  • 0

complete list of authors

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

publication date

  • May 2009

publisher