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Investigation of model stacking for drug sensitivity prediction
BACKGROUND: A significant problem in precision medicine is the prediction of drug sensitivity for individual cancer cell lines. Predictive models such as Random Forests have shown promising performance while predicting from individual genomic features such as gene expressions. However, accessibility...
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| Veröffentlicht in: | BMC Bioinformatics |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5872495/ https://ncbi.nlm.nih.gov/pubmed/29589559 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2060-2 |
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