Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score
Abstract Identifying genetic drivers of chronic diseases is necessary for drug discovery. Here, we develop a machine learning-assisted genetic priority score, which we call ML-GPS, that incorporates genetic associations with predicted disease phenotypes to enhance target discovery. First, we constru...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , , , , , , , , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Nature Portfolio
2024-10-01
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| Σειρά: | Nature Communications |
| Διαθέσιμο Online: | https://doi.org/10.1038/s41467-024-53333-y |
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