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Functional random forest with applications in dose-response predictions
Drug sensitivity prediction for individual tumors is a significant challenge in personalized medicine. Current modeling approaches consider prediction of a single metric of the drug response curve such as AUC or IC(50). However, the single summary metric of a dose-response curve fails to provide the...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6367407/ https://www.ncbi.nlm.nih.gov/pubmed/30733524 http://dx.doi.org/10.1038/s41598-018-38231-w |