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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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