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Article

Identification of potential novel biomarkers and therapeutic targets involved in human atrial fibrillation based on bioinformatics analysis

6 May 2020

Abstract excerpt

BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia. However, exact molecular mechanism of AF remains unclear. AIMS: Our study aimed to identify underlying biomarkers and pathways involved in AF based on bioinformatics analysis. METHODS: The GSE79768 human heart tissue dataset was obtained from the Gene Expression Omnibus (GEO) database. A total of 26 heart tissue samples including 14 AF atrium...

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Share to Atrial Fibrillation Management and Outcomes
Share to Cardiac Fibrosis and Remodeling
Share to IL-33, ST2, and ILC Pathways

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 32383373
DOI: 10.33963/kp.15339

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