Identification of diagnostic biomarkers in Alzheimer’s disease by integrated bioinformatic analysis and machine learning strategies

Identification of diagnostic biomarkers in Alzheimer’s disease by integrated bioinformatic analysis and machine learning strategies

BackgroundAlzheimer’s disease (AD) is the most prevalent form of dementia, and is becoming one of the most burdening and lethal diseases. More useful biomarkers for diagnosing AD and reflecting the disease progression are in need and of significance.MethodsThe integrated bioinformatic analysis combi...

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Bibliographic Details
Main Authors: Boru Jin, Xiaoqin Cheng, Guoqiang Fei, Shaoming Sang, Chunjiu Zhong
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Aging Neuroscience
Subjects:
Alzheimer’s disease
biomarker
diagnosis
machine learning (ML)
Bioinformatics
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2023.1169620/full

Internet

https://www.frontiersin.org/articles/10.3389/fnagi.2023.1169620/full

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