Semisupervised approach for dominant gene selection and classification
Abstract Background Semisupervised learning has attracted significant interest in gene expression analysis due to its ability to improve classification performance under limited labeled data, a common challenge arising from high dimensionality and small sample sizes. Existing semisupervised methods...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BMC
2026-02-01
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| Col·lecció: | BMC Bioinformatics |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s12859-026-06374-7 |
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