Probabilistic control of gene networks.

Conf Proc IEEE Eng Med Biol Soc 2005;2005:2966-70

Bachelor of Tech. Programme, Nat. Univ. of Singapore.

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.

Download full-text PDF

Source
http://ieeexplore.ieee.org/iel5/10755/33900/01617096.pdf?arn
Web Search
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumbe
Publisher Site
http://dx.doi.org/10.1109/IEMBS.2005.1617096DOI Listing
October 2012
11 Reads

Publication Analysis

Top Keywords

gene networks
12
state network
8
distribution state
4
prescribed minimum
4
state transitions
4
set prescribed
4
probability distribution
4
minimum maximum
4
probability heuristic
4
network represented
4
maximum probability
4
represented probability
4
transitions considered
4
state set
4
determine sequence
4
drives state
4
sequence control
4
actions drives
4
network desired
4
proposed determine
4

Similar Publications