Investigation of model stacking for drug sensitivity prediction
Abstract 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, acces...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2018-03-01
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| coleção: | BMC Bioinformatics |
| Assuntos: | |
| Acesso em linha: | http://link.springer.com/article/10.1186/s12859-018-2060-2 |
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