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

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{conf/his/YangZYL15,

• author = "Bin Yang and Wei Zhang and Xiaofei Yan and Caixia Liu",
• title = "Reverse Engineering of Time-Delayed Gene Regulatory Network Using Restricted Gene Expression Programming",
• publisher = "Springer",
• year = "2015",
• volume = "420",
• booktitle = "International Conference on Hybrid Intelligent Systems, HIS 2016",
• editor = "Ajith Abraham and Sang Yong Han and Salah Al-Sharhan and Hongbo Liu",
• series = "Advances in Intelligent Systems and Computing",
• pages = "155--165",
• keywords = "genetic algorithms, genetic programming, gene expression programming, time delayed, gene regulatory network, s-system, particle swarm optimisation",
• bibdate = "2017-05-24",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/his/his2015.html#YangZYL15",
• isbn13 = "978-3-319-27220-7",
• DOI = "doi:10.1007/978-3-319-27221-4_13",
• 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 optimisation, is used to optimise the architecture and parameters of TDSS model. Experimental result reveals that our method could identify time-delayed gene regulatory network accurately.",

}

Genetic Programming entries for Bin Yang Wei Zhang Xiaofei Yan Caixia Liu

Citations