TY - JOUR AU - Liu, Yaozhong AU - Bai, Fan AU - Tang, Zhenwei AU - Liu, Na AU - Liu, Qiming PY - 2021 DA - 2021/01/28 TI - Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular heart disease JO - BMC Cardiovascular Disorders SP - 52 VL - 21 IS - 1 AB - 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. SN - 1471-2261 UR - https://doi.org/10.1186/s12872-020-01819-0 DO - 10.1186/s12872-020-01819-0 ID - Liu2021 ER -