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...

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Detalles Bibliográficos
Autores principales: Rauschenberger, Armin, Glaab, Enrico, van de Wiel, Mark A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
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

Internet

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

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