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...

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Detalles Bibliográficos
Autores principales: Wang, Yong, Miao, Liu, Tao, Lin, Chen, Jian-Hong, Zhu, Chuan-Meng, Li, Ye, Qi, Bin, Liao, Fei, Li, Rong-Shan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Research Paper
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

Internet

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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