Integrating GWAS and machine learning for disease risk prediction in the Taiwanese Hakka population
IntroductionGenome-wide association studies (GWAS) have identified numerous loci associated with complex diseases, yet their predictive power in small or genetically homogeneous populations remains limited. Integrating machine learning with GWAS offers a path to improve risk prediction and uncover f...
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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2025-12-01
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| シリーズ: | Frontiers in Genetics |
| 主題: | |
| オンライン･アクセス: | https://www.frontiersin.org/articles/10.3389/fgene.2025.1694084/full |
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