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Additional file 1: of Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality

Year: 2018

Type: dataset

Abstract: Table S1. Epigenome-wide significant CpG sites associated with tobacco smoking in a discovery sample. Table S2. Epigenome-wide significant CpG sites associated with tobacco smoking in a replication sample. Table S3. Machine learning selected 698 CpGs for the prediction of HIV frailty. (XLSX 77 kb)

Source: Figshare

DOI: 10.6084/m9.figshare.7465772

Authors: Zhang, Xinyu, Hu, Ying, Aouizerat, Bradley, Peng, Gang, Marconi, Vincent, Corley, Michael, Hulgan, Todd, Bryant, Kendall, Zhao, Hongyu, Krystal, John, Justice, Amy, Xu, Ke

Language: English

Topic: Epigenetics and DNA Methylation

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4394362986

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