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...

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Detalles Bibliográficos
Autores principales: Lai, Yongxing, Lin, Xueyan, Lin, Chunjin, Lin, Xing, Chen, Zhihan, Zhang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438901/
https://www.ncbi.nlm.nih.gov/pubmed/36059957
http://dx.doi.org/10.3389/fphar.2022.975774

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438901/
https://www.ncbi.nlm.nih.gov/pubmed/36059957
http://dx.doi.org/10.3389/fphar.2022.975774

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