Bayesian neural networks for detecting epistasis in genetic association studies

BACKGROUND: Discovering causal genetic variants from large genetic association studies poses many difficult challenges. Assessing which genetic markers are involved in determining trait status is a computationally demanding task, especially in the presence of gene-gene interactions. RESULTS: A non-p...

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Detalles Bibliográficos
Autores principales: Beam, Andrew L, Motsinger-Reif, Alison, Doyle, Jon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256933/
https://www.ncbi.nlm.nih.gov/pubmed/25413600
http://dx.doi.org/10.1186/s12859-014-0368-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256933/
https://www.ncbi.nlm.nih.gov/pubmed/25413600
http://dx.doi.org/10.1186/s12859-014-0368-0

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