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Weighted gene coexpression network analysis identifies the key role associated with acute coronary syndrome
The present study sought to identify potential hub genes and pathways of acute coronary syndrome (ACS). We downloaded the dataset (GSE56045) from the Gene Expression Omnibus (GEO) database and analyzed weighted gene coexpression networks (WGCNA). Gene Ontology annotation, Disease Ontology and Kyoto...
Autores principales: | Wang, Yong, Miao, Liu, Tao, Lin, Chen, Jian-Hong, Zhu, Chuan-Meng, Li, Ye, Qi, Bin, Liao, Fei, Li, Rong-Shan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732301/ https://www.ncbi.nlm.nih.gov/pubmed/33052139 http://dx.doi.org/10.18632/aging.103859 |
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