Genetic Programming for Mining DNA Chip data from Cancer Patients

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "W. B. Langdon and B. F. Buxton",
  title =        "Genetic Programming for Mining {DNA} Chip data from
                 Cancer Patients",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2004",
  volume =       "5",
  number =       "3",
  pages =        "251--257",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming, attribute
                 selection, leave one out cross fold validation, data
                 mining, machine learning, classification, evolutionary
                 algorithms, DNA chip gene expression, predicting
  ISSN =         "1389-2576",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1023/B:GENP.0000030196.55525.f7",
  size =         "8 pages",
  abstract =     "In machine learning terms DNA (gene) chip data is
                 unusual in having thousands of attributes (the gene
                 expression values) but few (<100) records (the
                 patients). A GP based method for both feature selection
                 and generating simple models based on a few genes is
                 demonstrated on cancer data.",
  notes =        "Article ID: 5272972",

Genetic Programming entries for William B Langdon Bernard Buxton