DocumentCode
1618205
Title
Probabilistic Control of Gene Networks
Author
Chen, Peter C Y ; Chen, Jeremy W.
Author_Institution
Bachelor of Tech. Programme, Nat. Univ. of Singapore
fYear
2006
Firstpage
2966
Lastpage
2970
Abstract
In this paper, an approach based on Markov chains for controlling gene networks is proposed. The state of the network is represented as a probability distribution, while state transitions are considered to be probabilistic. An algorithm is proposed to determine a sequence of control actions that drives the state of a given network to within a desired state set with a prescribed minimum or maximum probability. A heuristic is proposed and shown to improve the efficiency of the proposed algorithm for a class of gene networks
Keywords
Markov processes; biocontrol; biology computing; cellular biophysics; genetics; molecular biophysics; statistical distributions; Markov chains; gene networks; heuristic function; probabilistic control; probability distribution; state transitions; Biochemistry; Biological systems; Differential equations; Feedback; Fungi; Microorganisms; Proteins; Sequences; Stochastic processes; Sugar;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1617096
Filename
1617096
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