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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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| Publié dans: | Mol Ther Nucleic Acids |
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| Auteurs principaux: | , , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
American Society of Gene & Cell Therapy
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7403773/ https://ncbi.nlm.nih.gov/pubmed/32759058 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.omtn.2020.07.003 |
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