Gene subset selection using an iterative approach based on genetic algorithms
Microarray data are expected to be useful for cancer classification. 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 due to many irrelevant genes, nois...
| Main Authors: | , , , |
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| Format: | Book Section |
| Published: |
ISAROB
2009
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| Subjects: |