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Publication Detail
Genetic Programming for Mining DNA Chip data from Cancer Patients
  • Publication Type:
    Journal article
  • Publication Sub Type:
    article
  • Authors:
    Langdon WB, Buxton BF
  • Publication date:
    09/2004
  • Pagination:
    251, 257
  • Journal:
    Genetic Programming and Evolvable Machines
  • Volume:
    5
  • Article number:
    3
  • Print ISSN:
    1389-2576
  • Notes:
    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 cancer size: 8 pages notes: Article ID: 5272972
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.
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