Application of weighted co-expression network analysis and machine learning to identify the pathological mechanism of Alzheimer's disease

Aberrant deposits of neurofibrillary tangles (NFT), the main characteristic of Alzheimer's disease (AD), are highly related to cognitive impairment. However, the pathological mechanism of NFT formation is still unclear. This study explored differences in gene expression patterns in multiple bra...

Descripción completa

Detalles Bibliográficos
Autores principales: Chai, Keping, Zhang, Xiaolin, Chen, Shufang, Gu, Huaqian, Tang, Huitao, Cao, Panlong, Wang, Gangqiang, Ye, Weiping, Wan, Feng, Liang, Jiawei, Shen, Daojiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Aging Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326231/
https://www.ncbi.nlm.nih.gov/pubmed/35912089
http://dx.doi.org/10.3389/fnagi.2022.837770

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326231/
https://www.ncbi.nlm.nih.gov/pubmed/35912089
http://dx.doi.org/10.3389/fnagi.2022.837770

Ejemplares similares