Identification of immune microenvironment subtypes and signature genes for Alzheimer's disease diagnosis and risk prediction based on explainable machine learning.

Yongxing Lai,Peiqiang Lin,Fan Lin,Manli Chen,Chunjin Lin,Xing Lin,Lijuan Wu,Mouwei Zheng,Jianhao Chen

Frontiers in immunology（2022）

引用 7|浏览25

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摘要

The hub genes associated with the immune microenvironment that are most strongly associated with the progression of pathology in AD are CXCR4, PPP3R1, HSP90AB1, CXCL10, and S100A12. The hypothesized molecular subgroups might offer novel perceptions for individualized AD treatment.

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关键词

alzheimer’s disease,characteristic genes,immune microenvironment,immune subtypes,machine learning

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