Title :
Probabilistic Control of Gene Networks
Author :
Chen, Peter C Y ; Chen, Jeremy W.
Author_Institution :
Bachelor of Tech. Programme, Nat. Univ. of Singapore
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;
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
DOI :
10.1109/IEMBS.2005.1617096
