Reverse Engineering of Time-Delayed Gene Regulatory Network Using Restricted Gene Expression Programming

Time delayed factor is one of the most important characteristics of gene regulatory network. Most research focused on reverse engineering of time-delayed gene regulatory network. In this paper, time-delayed S-system (TDSS) model is used to infer time-delayed regulatory network. An improved gene expression programming (GEP), named restricted GEP (RGEP) is proposed as a new representation of the TDSS model. A hybrid evolutionary method, based on structure-based evolutionary algorithm and new hybrid particle swarm optimization, is used to optimize the architecture and parameters of TDSS model. Experimental result reveals that our method could identify time-delayed gene regulatory network accurately.

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