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

Author

Zhang, Shu-Qin ; Ng, Michael K. ; Ching, Wai-Ki ; Akutsu, Tatsuya

Author_Institution

Dept. of Math., Hong Kong Univ., China

Volume

1

fYear

2005

fDate

25-27 July 2005

Firstpage

354

Abstract

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.

Keywords

Boolean functions; biocontrol; cost optimal control; genetics; minimisation; statistical distributions; gene intervention problem; genetic regulatory network; linear control model; minimization problem; probability distribution; Biological systems; Boolean functions; Cost function; Gene expression; Genetics; Minimization; Noise measurement; Probability distribution; Stochastic resonance; Uncertainty; genetic regulatory network; linear control; minimization problem; probabilistic boolean network;

fLanguage

English

Publisher

ieee

Conference_Titel

Granular Computing, 2005 IEEE International Conference on

Print_ISBN

0-7803-9017-2

Type

conf

DOI

10.1109/GRC.2005.1547303

Filename

1547303