Particle swarm optimization for gene selection in classifying cancer classes
The application of microarray data for cancer classification has recently gained in popularity. The main problem that needs to be addressed is the selection of a small subset of genes from the thousands of genes in the data that contribute to a disease. This selection process is difficult due to the...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Springer Verlag
2009
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/13038/ http://dx.doi.org/10.1007/s10015-009-0712-z |
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