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

• 主要な著者: Yongxing Lai (著者), Xueyan Lin (著者), Chunjin Lin (著者), Xing Lin (著者), Zhihan Chen (著者), Li Zhang (著者)
• フォーマット: 図書
• 出版事項: Frontiers Media S.A., 2022-08-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

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 f...