Abstract
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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Acknowledgments
This work was supported by Ph.D. research startup foundation of Zaozhuang University (No. 1020702), and Shandong Provincial Natural Science Foundation, China (No. ZR2015PF007).
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Yang, B., Zhang, W., Yan, X., Liu, C. (2016). Reverse Engineering of Time-Delayed Gene Regulatory Network Using Restricted Gene Expression Programming. In: Abraham, A., Han, S., Al-Sharhan, S., Liu, H. (eds) Hybrid Intelligent Systems. HIS 2016. Advances in Intelligent Systems and Computing, vol 420. Springer, Cham. https://doi.org/10.1007/978-3-319-27221-4_13
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DOI: https://doi.org/10.1007/978-3-319-27221-4_13
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