Mitochondria-Related Candidate Genes and Diagnostic Model to Predict Late-Onset Alzheimer’s Disease and Mild Cognitive Impairment

Abstract excerpt

Background: Late-onset Alzheimer's disease (LOAD) is the most common type of dementia, but its pathogenesis remains unclear, and there is a lack of simple and convenient early diagnostic markers to predict the occurrence. Objective: Our study aimed to identify diagnostic candidate genes to predict LOAD by machine learning methods. Methods: Three publicly available datasets from the Gene Expression Omnibus (GEO)...

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