An Efficient SVM-Based Feature Selection Model for Cancer Classification Using High-Dimensional Microarray Data
Feature selection is critical in analyzing microarray data, which has many features (genes) or dimensions. However, with only a few samples the large search space and time consumed during their selection make selecting relevant and informative genes that improve classification performance a complex...
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Auteurs principaux: | , , , , |
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Format: | article |
Langue: | EN |
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IEEE
2021
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Accès en ligne: | https://doaj.org/article/fc9ce6eb64744b63be5363e9993b5579 |
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