Enrichment of machine learning classifiers performance in detection of leukaemia from microarray genes through bio-inspired feature extraction methods – an overview
Early and accurate detection of leukaemia is essential for improving treatment outcomes; however, achieving high diagnostic reliability from high-dimensional microarray gene data remains challenging. This study investigates the application of optimised machine learning frameworks for leukaemia class...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Taylor & Francis Group
2026-12-01
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| Серии: | Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization |
| Предметы: | |
| Online-ссылка: | https://www.tandfonline.com/doi/10.1080/21681163.2026.2663170 |
| Метки: |
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