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Identification of endoplasmic reticulum stress-associated genes and subtypes for prediction of Alzheimer’s disease based on interpretable machine learning

Introduction: Alzheimer’s disease (AD) is a severe dementia with clinical and pathological heterogeneity. Our study was aim to explore the roles of endoplasmic reticulum (ER) stress-related genes in AD patients based on interpretable machine learning.Methods: Microarray datasets were obtained from t...

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Principais autores: Yongxing Lai, Xueyan Lin, Chunjin Lin, Xing Lin, Zhihan Chen, Li Zhang
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2022-08-01
coleção:Frontiers in Pharmacology
Assuntos:
Alzheimer’s disease
ER stress
machine learning
molecular subtypes
prediction model
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fphar.2022.975774/full
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