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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Sci Rep
Egile Nagusiak: Rahman, Raziur, Dhruba, Saugato Rahman, Ghosh, Souparno, Pal, Ranadip
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Nature Publishing Group UK 2019
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC6367407/
https://ncbi.nlm.nih.gov/pubmed/30733524
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-38231-w
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