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