An improved binary particle swarm optimisation 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 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: | Book Section |
| Published: |
Springer
2009
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/14441/ |
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| Institution: | Universiti Teknologi Malaysia |