Cancer classification in high dimensional microarray gene expressions by feature selection using eagle prey optimization
Microarray gene expression data have emerged as powerful tools in cancer classification and diagnosis. However, the high dimensionality of these datasets presents significant challenges for feature selection, leading to the development of various computational methods. In this paper, we utilized the...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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Frontiers Media S.A.
2025-03-01
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| Schriftenreihe: | Frontiers in Genetics |
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| Online-Zugang: | https://www.frontiersin.org/articles/10.3389/fgene.2025.1528810/full |
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