Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality

BACKGROUND: The effects of tobacco smoking on epigenome-wide methylation signatures in white blood cells (WBCs) collected from persons living with HIV may have important implications for their immune-related outcomes, including frailty and mortality. The application of a machine learning approach to...

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Detalles Bibliográficos
Autores principales: Zhang, Xinyu, Hu, Ying, Aouizerat, Bradley E., Peng, Gang, Marconi, Vincent C., Corley, Michael J., Hulgan, Todd, Bryant, Kendall J., Zhao, Hongyu, Krystal, John H., Justice, Amy C., Xu, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293604/
https://www.ncbi.nlm.nih.gov/pubmed/30545403
http://dx.doi.org/10.1186/s13148-018-0591-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293604/
https://www.ncbi.nlm.nih.gov/pubmed/30545403
http://dx.doi.org/10.1186/s13148-018-0591-z

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