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

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.

• Type: Conference
• Year: 2005
• Where: GRC
• Authors: Shuqin Zhang, Michael K. Ng, Wai-Ki Ching, Tatsuya Akutsu
• Keywords: Control Model, Gene Intervention, GRC 2005, Target State