Classification of Gene Expression Profile Using Combinatory Method of Evolutionary Computation and Machine Learning

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@Article{ando:2004:GPEM,
  author =       "Shin Ando and Hitoshi Iba",
  title =        "Classification of Gene Expression Profile Using
                 Combinatory Method of Evolutionary Computation and
                 Machine Learning",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2004",
  volume =       "5",
  number =       "2",
  pages =        "145--156",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 computation, artificial immune system, wrapper
                 approach, gene expression classification, cancer
                 diagnosis",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1023/B:GENP.0000023685.83861.69",
  abstract =     "The analysis of large amount of gene expression
                 profiles, which became available by rapidly developed
                 monitoring tools, is an important task in
                 Bioinformatics. The problem we address is the
                 discrimination of gene expression profiles of different
                 classes, such as cancerous/benign tissues. Two subtasks
                 in such problem, feature subset selection and inductive
                 learning has critical effect on each other. In the
                 wrapper approach, combinatorial search of feature
                 subset is done with performance of inductive learning
                 as search criteria. This paper compares few
                 combinations of supervised learning and combinatorial
                 search when used in the wrapper approach. Also an
                 extended GA implementation is introduced, which uses
                 Clonal selection, a data-driven selection method. It
                 compares very well to standard GA. The analysis of the
                 obtained classifier reveals synergistic effect of genes
                 in discrimination of the profiles.",
  notes =        "Part of \cite{banzhaf:2004:biogec} Special Issue on
                 Biological Applications of Genetic and Evolutionary
                 Computation Guest Editor(s): Wolfgang Banzhaf , James
                 Foster

                 (1) Department of Electronics, School of Engineering,
                 University of Tokyo, Yokohama, Japan

                 (2) Department of Frontier Informatics, School of
                 Frontier Science, University of Tokyo, Chiba, Japan",
}

Genetic Programming entries for Shin Ando Hitoshi Iba

Citations