Langdon, WB;
Buxton, BF;
(2004)
Genetic programming for mining DNA chip data from cancer patients.
Genetic Programming and Evolvable Machines
, 5
(3)
pp. 251-257.
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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.
| Type: | Article |
|---|---|
| Title: | Genetic programming for mining DNA chip data from cancer patients |
| Open access status: | An open access version is available from UCL Discovery |
| Additional information: | Imported via OAI, 7:29:01 24th May 2005; Imported via OAI, 7:29:01 2nd Aug 2005 |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/573 |
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