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

BACKGROUND: Alzheimer’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. METHODS: The integrated bioinformatic analysis...

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Detalles Bibliográficos
Autores principales: Jin, Boru, Cheng, Xiaoqin, Fei, Guoqiang, Sang, Shaoming, Zhong, Chunjiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10331604/
https://www.ncbi.nlm.nih.gov/pubmed/37434738
http://dx.doi.org/10.3389/fnagi.2023.1169620

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10331604/
https://www.ncbi.nlm.nih.gov/pubmed/37434738
http://dx.doi.org/10.3389/fnagi.2023.1169620

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