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...

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Detalles Bibliográficos
Autores principales: Rahman, Raziur, Dhruba, Saugato Rahman, Ghosh, Souparno, Pal, Ranadip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
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

Internet

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

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