A scalable, knowledge-based analysis framework for genetic association studies

BACKGROUND: Testing for marginal associations between numerous genetic variants and disease may miss complex relationships among variables (e.g., gene-gene interactions). Bayesian approaches can model multiple variables together and offer advantages over conventional model building strategies, inclu...

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Detalles Bibliográficos
Autores principales: Baurley, James W, Conti, David V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015032/
https://www.ncbi.nlm.nih.gov/pubmed/24152222
http://dx.doi.org/10.1186/1471-2105-14-312

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015032/
https://www.ncbi.nlm.nih.gov/pubmed/24152222
http://dx.doi.org/10.1186/1471-2105-14-312

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