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An analytic approach for interpretable predictive models in high‐dimensional data in the presence of interactions with exposures
Predicting a phenotype and understanding which variables improve that prediction are two very challenging and overlapping problems in the analysis of high‐dimensional (HD) data such as those arising from genomic and brain imaging studies. It is often believed that the number of truly important predi...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175336/ https://www.ncbi.nlm.nih.gov/pubmed/29423954 http://dx.doi.org/10.1002/gepi.22112 |