Genetic studies of complex human diseases: Characterizing SNP-disease associations using Bayesian networks

BACKGROUND: Detecting epistatic interactions plays a significant role in improving pathogenesis, prevention, diagnosis, and treatment of complex human diseases. Applying machine learning or statistical methods to epistatic interaction detection will encounter some common problems, e.g., very limited...

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Detalles Bibliográficos
Autores principales: Han, Bing, Chen, Xue-wen, Talebizadeh, Zohreh, Xu, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3524021/
https://www.ncbi.nlm.nih.gov/pubmed/23281790
http://dx.doi.org/10.1186/1752-0509-6-S3-S14

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3524021/
https://www.ncbi.nlm.nih.gov/pubmed/23281790
http://dx.doi.org/10.1186/1752-0509-6-S3-S14

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