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Modeling cyclic and acyclic therapeutic methods with persistent intervention effect in probabilistic Boolean networks

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3 Author(s)
Yousefi, M.R. ; Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA ; Datta, A. ; Dougherty, E.R.

In cancer therapy, mostly in the form of chemotherapy, the goal is to alter the likelihood of undesirable states such as those associated with disease in the long run. After delivery, a drug will be effective on the target cell(s) for some period of time, followed by a recovery phase. This paper presents a methodology to devise optimal intervention strategies for two classes of cyclic and acyclic therapeutic methods with fixed-length duration of effect for any Markovian genetic regulatory network.

Published in:

Genomic Signal Processing and Statistics (GENSIPS), 2011 IEEE International Workshop on

Date of Conference:

4-6 Dec. 2011