Machine learning compensates fold-change method and highlights oxidative phosphorylation in the brain transcriptome of Alzheimer’s disease

Alzheimer’s disease (AD) is a neurodegenerative disorder causing 70% of dementia cases. However, the mechanism of disease development is still elusive. Despite the availability of a wide range of biological data, a comprehensive understanding of AD's mechanism from machine learning (ML) is so f...

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Detalles Bibliográficos
Autores principales: Cheng, Jack, Liu, Hsin-Ping, Lin, Wei-Yong, Tsai, Fuu-Jen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249453/
https://www.ncbi.nlm.nih.gov/pubmed/34211065
http://dx.doi.org/10.1038/s41598-021-93085-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249453/
https://www.ncbi.nlm.nih.gov/pubmed/34211065
http://dx.doi.org/10.1038/s41598-021-93085-z

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