Gene subset selection using an iterative approach based on genetic algorithms
Microarray data are expected to be useful for cancer classification. However, the process of gene selection for the classification contains a major problem due to properties of the data such as the small number of samples compared with the huge number of genes (higher-dimensional data), irrelevant g...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/15230/ http://dx.doi.org/10.1007/s10015-009-0711-0 |
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