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.
Similar content being viewed by others
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Langdon, W.B., Buxton, B.F. Genetic Programming for Mining DNA Chip Data from Cancer Patients. Genet Program Evolvable Mach 5, 251–257 (2004). https://doi.org/10.1023/B:GENP.0000030196.55525.f7
Issue Date:
DOI: https://doi.org/10.1023/B:GENP.0000030196.55525.f7