Evolutionary modeling and inference of gene network

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{ando:emi,
  author =       "Shin Ando and Erina Sakamoto and Hitoshi Iba",
  title =        "Evolutionary modeling and inference of gene network",
  journal =      "Information Sciences",
  volume =       "145",
  number =       "3-4",
  month =        sep,
  year =         "2002",
  pages =        "237--259",
  keywords =     "genetic algorithms, genetic programming, Gene network,
                 Evolutionary modeling, Time series prediction",
  URL =          "http://www.sciencedirect.com/science/article/B6V0C-46WWB37-3/2/963172f8c0faa12d700376b07bfc96a5",
  ISSN =         "0020-0255",
  DOI =          "doi:10.1016/S0020-0255(02)00235-9",
  abstract =     "we describe an Evolutionary Modeling (EM) approach to
                 building causal model of differential equation system
                 from time series data. The main target of the modeling
                 is the gene regulatory network. A hybrid method of
                 Genetic Programming (GP) and statistical analysis is
                 featured in our work. GP and Least Mean Square method
                 (LMS) were combined to identify a concise form of
                 regulation between the variables from a given set of
                 time series. Our approach was evaluated in several
                 real-world problems. Further, Monte Carlo analysis is
                 applied to indicate the robust and significant
                 influence from the results for gene network analysis
                 purpose.",
}

Genetic Programming entries for Shin Ando Erina Sakamoto Hitoshi Iba

Citations