Multi-strategy fusion binary SHO guided by Pearson correlation coefficient for feature selection with cancer gene expression data
Cancer gene expression data is extensively utilized to address the challenges of cancer subtype diagnosis. However, this data is often characterized by high-dimensional, multi-text and multi-classification, which requires an effective feature selection (FS) method. A multi-strategy fusion binary sea...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Egyptian Informatics Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110866525000325 |
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