Genetic Programming for Mining DNA Chip Data from Cancer Patients

摘要

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.