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

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

BackgroundUsing interpretable machine learning, we sought to define the immune microenvironment subtypes and distinctive genes in AD.MethodsssGSEA, LASSO regression, and WGCNA algorithms were used to evaluate immune state in AD patients. To predict the fate of AD and identify distinctive genes, six...

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Bibliographic Details
Main Authors: Yongxing Lai, Peiqiang Lin, Fan Lin, Manli Chen, Chunjin Lin, Xing Lin, Lijuan Wu, Mouwei Zheng, Jianhao Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Immunology
Subjects:
alzheimer’s disease
immune microenvironment
characteristic genes
machine learning
immune subtypes
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.1046410/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2022.1046410/full

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