A comparative study of nature-inspired metaheuristic algorithms using a three-phase hybrid approach for gene selection and classification in high-dimensional cancer datasets
Identification of informative genes is essential for the disease and cancer studies. Metaheuristic algorithms have been widely used for this purpose. However, their performance on various high-dimensional datasets of genomic studies has not been fully addressed. This work was intended to perform a c...
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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 出版事項: |
Springer Science and Business Media Deutschland GmbH
2021
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/94946/ http://dx.doi.org/10.1007/s00500-021-05726-0 |
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