A machine learning approach to brain epigenetic analysis reveals kinases associated with Alzheimer’s disease

A machine learning approach to brain epigenetic analysis reveals kinases associated with Alzheimer’s disease

Array-based epigenome-wide association studies only test about 2% of the CpG sites in the genome. Here, the authors describe EWASplus, a supervised machine learning strategy that extends EWAS coverage to the entire genome, and use it to identify novel brain CpGs associated with Alzheimer’s disease....

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Bibliographic Details
Main Authors: Yanting Huang, Xiaobo Sun, Huige Jiang, Shaojun Yu, Chloe Robins, Matthew J. Armstrong, Ronghua Li, Zhen Mei, Xiaochuan Shi, Ekaterina Sergeevna Gerasimov, Philip L. De Jager, David A. Bennett, Aliza P. Wingo, Peng Jin, Thomas S. Wingo, Zhaohui S. Qin
Format: article
Language:EN
Published: Nature Portfolio 2021
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Science
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Online Access:https://doaj.org/article/65c87e8eceb04148ada622868111db36
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https://doaj.org/article/65c87e8eceb04148ada622868111db36

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