Multi-task deep autoencoder to predict Alzheimer’s disease progression using temporal DNA methylation data in peripheral blood

Traditional approaches for diagnosing Alzheimer’s disease (AD) such as brain imaging and cerebrospinal fluid are invasive and expensive. It is desirable to develop a useful diagnostic tool by exploiting biomarkers obtained from peripheral tissues due to their noninvasive and easily accessible charac...

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Detalles Bibliográficos
Autores principales: Chen, Li, Saykin, Andrew J., Yao, Bing, Zhao, Fengdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619306/
https://www.ncbi.nlm.nih.gov/pubmed/36756173
http://dx.doi.org/10.1016/j.csbj.2022.10.016

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619306/
https://www.ncbi.nlm.nih.gov/pubmed/36756173
http://dx.doi.org/10.1016/j.csbj.2022.10.016

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