Selecting Informative Genes from Microarray Data for Cancer Classification with Genetic Programming Classifier Using K-Means Clustering and SNR Ranking

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@InProceedings{Hengpraprohm:2007:FBIT,
  author =       "S. Hengpraprohm and P. Chongstitvatana",
  title =        "Selecting Informative Genes from Microarray Data for
                 Cancer Classification with Genetic Programming
                 Classifier Using K-Means Clustering and SNR Ranking",
  booktitle =    "Proceedings of the 2007 International Conference
                 Frontiers in the Convergence of Bioscience and
                 Information Technologies (FBIT 2007)",
  year =         "2007",
  pages =        "211--218",
  address =      "Jeju Island, Korea",
  month =        oct # " 11-13",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-0-7695-2999-8",
  URL =          "http://www.computer.org/portal/web/csdl/doi/10.1109/FBIT.2007.84",
  DOI =          "doi:10.1109/FBIT.2007.84",
  abstract =     "This paper presents a method for selecting informative
                 features using K-Means clustering and SNR ranking. The
                 performance of the proposed method was tested on cancer
                 classification problems. Genetic Programming is
                 employed as a classifier. The experimental results
                 indicate that the proposed method yields higher
                 accuracy than using the SNR ranking alone and higher
                 than using all of the genes in classification. The
                 clustering step assures that the selected genes have
                 low redundancy, hence the classifier can exploit these
                 features to obtain better performance.",
  notes =        "Dept. of Comput. Eng., Chulalongkorn Univ.,
                 Chulalongkorn

                 ",
}

Genetic Programming entries for Supoj Hengpraprom Prabhas Chongstitvatana

Citations