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Identifying Gene–Environment Interactions With Robust Marginal Bayesian Variable Selection
In high-throughput genetics studies, an important aim is to identify gene–environment interactions associated with the clinical outcomes. Recently, multiple marginal penalization methods have been developed and shown to be effective in G×E studies. However, within the Bayesian framework, marginal va...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8693717/ https://www.ncbi.nlm.nih.gov/pubmed/34956304 http://dx.doi.org/10.3389/fgene.2021.667074 |