Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality
Abstract 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 app...
Main Authors: | Xinyu Zhang, Ying Hu, Bradley E. Aouizerat, Gang Peng, Vincent C. Marconi, Michael J. Corley, Todd Hulgan, Kendall J. Bryant, Hongyu Zhao, John H. Krystal, Amy C. Justice, Ke Xu |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-12-01
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Series: | Clinical Epigenetics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13148-018-0591-z |
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