Identification of feature genes and pathways for Alzheimer's disease via WGCNA and LASSO regression

While Alzheimer's disease (AD) can cause a severe economic burden, the specific pathogenesis involved is yet to be elucidated. To identify feature genes associated with AD, we downloaded data from three GEO databases: GSE122063, GSE15222, and GSE138260. In the filtering, we used AD for search k...

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Detalles Bibliográficos
Autores principales: Sun, Hongyu, Yang, Jin, Li, Xiaohui, Lyu, Yi, Xu, Zhaomeng, He, Hui, Tong, Xiaomin, Ji, Tingyu, Ding, Shihan, Zhou, Chaoli, Han, Pengyong, Zheng, Jinping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9536257/
https://www.ncbi.nlm.nih.gov/pubmed/36213445
http://dx.doi.org/10.3389/fncom.2022.1001546

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9536257/
https://www.ncbi.nlm.nih.gov/pubmed/36213445
http://dx.doi.org/10.3389/fncom.2022.1001546

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