| Autor: |
Katja Ovchinnikova, Jannis Born, Panagiotis Chouvardas, Marianna Rapsomaniki, Marianna Kruithof-de Julio |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
npj Precision Oncology, Vol 8, Iss 1, Pp 1-7 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2397-768X |
| DOI: |
10.1038/s41698-024-00583-0 |
| Popis: |
Abstract Machine learning (ML) models of drug sensitivity prediction are becoming increasingly popular in precision oncology. Here, we identify a fundamental limitation in standard measures of drug sensitivity that hinders the development of personalized prediction models – they focus on absolute effects but do not capture relative differences between cancer subtypes. Our work suggests that using z-scored drug response measures mitigates these limitations and leads to meaningful predictions, opening the door for sophisticated ML precision oncology models. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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