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Article

Application of Weighted Gene Co-Expression Network Analysis to Explore the Key Genes in Alzheimer's Disease.

Journal of Alzheimer's disease : JAD - 1 Jan 2018

Liang Jia-Wei, Fang Zheng-Yu, Huang Yong, Liuyang Zhen-Yu, Zhang Xiao-Lin, Wang Jing-Lin, Wei Hui, Wang Jian-Zhi, Wang Xiao-Chuan, Zeng Ji, Liu Rong

Abstract excerpt

BACKGROUND: Weighted co-expression network analysis (WGCNA) is a powerful systems biology method to describe the correlation of gene expression based on the microarray database, which can be used to facilitate the discovery of therapeutic targets or candidate biomarkers in diseases. OBJECTIVE: To explore the key genes in the development of Alzheimer's disease (AD) by using WGCNA. METHODS: The whole gene...

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Identifiers

PMID: 30124448
DOI: 10.3233/JAD-180400
PMCID: PMC6218130

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ADD3
MSX1
RAB31
NOTCH2

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