Machine learning models identify ferroptosis-related genes as potential diagnostic biomarkers for Alzheimer’s disease

Machine learning models identify ferroptosis-related genes as potential diagnostic biomarkers for Alzheimer’s disease

Alzheimer’s disease (AD) is a complex, and multifactorial neurodegenerative disease. Previous studies have revealed that oxidative stress, synaptic toxicity, autophagy, and neuroinflammation play crucial roles in the progress of AD, however, its pathogenesis is still unclear. Recent researches have...

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Detalles Bibliográficos
Main Authors: Yanyao Deng, Yanjin Feng, Zhicheng Lv, Jinli He, Xun Chen, Chen Wang, Mingyang Yuan, Ting Xu, Wenzhe Gao, Dongjie Chen, Hongwei Zhu, Deren Hou
Formato: Artigo
Idioma:English
Publicado: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Aging Neuroscience
Subjects:
Alzheimer’s disease
ferroptosis
diagnostic model
bioinformatics
machine learning algorithms
Acceso en liña:https://www.frontiersin.org/articles/10.3389/fnagi.2022.994130/full

Internet

https://www.frontiersin.org/articles/10.3389/fnagi.2022.994130/full

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