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VARIABLE SELECTION METHOD FOR THE IDENTIFICATION OF EPISTATIC MODELS
Standard analysis methods for genome wide association studies (GWAS) are not robust to complex disease models, such as interactions between variables with small main effects. These types of effects likely contribute to the heritability of complex human traits. Machine learning methods that are capab...
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| Publicado no: | Pac Symp Biocomput |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4299919/ https://ncbi.nlm.nih.gov/pubmed/25592581 |
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