An Improved Anticancer Drug-Response Prediction Based on an Ensemble Method Integrating Matrix Completion and Ridge Regression

In this study, we proposed an ensemble learning method, simultaneously integrating a low-rank matrix completion model and a ridge regression model to predict anticancer drug response on cancer cell lines. The model was applied to two benchmark datasets, including the Cancer Cell Line Encyclopedia (C...

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Detalles Bibliográficos
Autores principales: Liu, Chuanying, Wei, Dong, Xiang, Ju, Ren, Fuquan, Huang, Li, Lang, Jidong, Tian, Geng, Li, Yushuang, Yang, Jialiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Gene & Cell Therapy 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7403773/
https://www.ncbi.nlm.nih.gov/pubmed/32759058
http://dx.doi.org/10.1016/j.omtn.2020.07.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7403773/
https://www.ncbi.nlm.nih.gov/pubmed/32759058
http://dx.doi.org/10.1016/j.omtn.2020.07.003

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