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Predictive and interpretable models via the stacked elastic net
MOTIVATION: Machine learning in the biomedical sciences should ideally provide predictive and interpretable models. When predicting outcomes from clinical or molecular features, applied researchers often want to know which features have effects, whether these effects are positive or negative and how...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336997/ https://www.ncbi.nlm.nih.gov/pubmed/32437519 http://dx.doi.org/10.1093/bioinformatics/btaa535 |