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A SCREENING-TESTING APPROACH FOR DETECTING GENE-ENVIRONMENT INTERACTIONS USING SEQUENTIAL PENALIZED AND UNPENALIZED MULTIPLE LOGISTIC REGRESSION
Gene-environment (G×E) interactions are biologically important for a wide range of environmental exposures and clinical outcomes. Because of the large number of potential interactions in genomewide association data, the standard approach fits one model per G×E interaction with multiple hypothesis co...
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| Publicado no: | Pac Symp Biocomput |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4299918/ https://ncbi.nlm.nih.gov/pubmed/25592580 |
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