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A linear control model for gene intervention in a genetic regulatory network

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4 Author(s)
Shu-Qin Zhang ; Dept. of Math., Hong Kong Univ., China ; Ng, M.K. ; Wai-Ki Ching ; Akutsu, T.

In this paper, we propose a linear control model for gene intervention in a genetic regulatory network. At each time step, finite controls are allowed to drive the network states to some target states. The objective is to achieve a target state probability distribution with a minimal control cost. The model can be formulated as a minimization problem with integer variables and continuous variables. Our experimental results show that the control model and the algorithm are efficient for gene intervention problems in genetic networks.

Published in:

Granular Computing, 2005 IEEE International Conference on  (Volume:1 )

Date of Conference:

25-27 July 2005