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

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@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/https://doi.org/10.1007/978-3-319-27221-4_13;
                 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