Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular heart disease

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, GSE79768,

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Phylogenomic analyses of all species of swordtail fishes (genus Xiphophorus) show that hybridization preceded speciation

Abstract Hybridization has been recognized to play important roles in evolution, however studies of the genetic consequence are still lagging behind in vertebrates due to the lack of appropriate experimental systems.Fish of the genus Xiphophorus are proposed to have evolved with FAST BLOWDRY HAIRSPRAY multiple ancient and ongoing hybridization even

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