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...

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Detalles Bibliográficos
Autores principales: Bhatnagar, Sahir Rai, Yang, Yi, Khundrakpam, Budhachandra, Evans, Alan C., Blanchette, Mathieu, Bouchard, Luigi, Greenwood, Celia M.T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Research Articles
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

Internet

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

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