Genotype-driven identification of a molecular network predictive of advanced coronary calcium in ClinSeq® and Framingham Heart Study cohorts

BACKGROUND: One goal of personalized medicine is leveraging the emerging tools of data science to guide medical decision-making. Achieving this using disparate data sources is most daunting for polygenic traits. To this end, we employed random forests (RFs) and neural networks (NNs) for predictive m...

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Detalles Bibliográficos
Autores principales: Oguz, Cihan, Sen, Shurjo K., Davis, Adam R., Fu, Yi-Ping, O’Donnell, Christopher J., Gibbons, Gary H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5659034/
https://www.ncbi.nlm.nih.gov/pubmed/29073909
http://dx.doi.org/10.1186/s12918-017-0474-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5659034/
https://www.ncbi.nlm.nih.gov/pubmed/29073909
http://dx.doi.org/10.1186/s12918-017-0474-5

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