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Genetic programming for mining DNA chip data from cancer patients

By WB Langdon and BF Buxton

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

Year: 2004
OAI identifier: oai:eprints.ucl.ac.uk.OAI2:573
Provided by: UCL Discovery

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