A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification
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 smaller subset of genes from the thousands of genes in the data that contributes to a disease. This selection process is difficult because...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2008
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/8192/1/AnazidaZainal2008_ANewBinaryParticleSwarmOptimizer.pdf http://eprints.utm.my/id/eprint/8192/ |
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