Identifying nutraceutical targets to treat polycystic ovary syndrome using graph representation learning
Abstract Polycystic ovary syndrome (PCOS) is a complex, multifactorial, and polygenic disorder. Here, we employed machine learning (ML) techniques to analyze large open-source datasets to identify bioactive molecules in foods and pharmacological agents that interact with genes and biological functio...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , , , , , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Nature Portfolio
2025-12-01
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| سلاسل: | npj Women's Health |
| الوصول للمادة أونلاين: | https://doi.org/10.1038/s44294-025-00117-4 |
| الوسوم: |
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