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Genetic Programming and Evolvable Machines

, Volume 5, Issue 3, pp 251–257 | Cite as

Genetic Programming for Mining DNA Chip Data from Cancer Patients

  • W. B. Langdon
  • B. F. Buxton
Article

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.

attribute selection leave one out cross fold validation data mining machine learning classification evolutionary algorithms DNA chip gene expression predicting cancer 

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Copyright information

© Kluwer Academic Publishers 2004

Authors and Affiliations

  • W. B. Langdon
    • 1
  • B. F. Buxton
    • 1
  1. 1.Computer ScienceUniversity CollegeLondonUK

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