Abstract Background Atrial fibrillation (AF) is the most common arrhythmia with poorly understood mechanisms. We aimed to investigate the biological mechanism of AF and to discover feature genes by analyzing multi-omics data and by applying a machine learning approach. Methods At the transcriptomic level. four microarray datasets (GSE41177. https://www.roneverhart.com/NeOn-Zero-Lefty-M390-BLADE-TITANIUM-HANDLE-MRBS-p11472/