Evolutionary modeling and inference of gene network

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  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

Genetic Programming entries for Shin Ando Erina Sakamoto Hitoshi Iba