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,

Abstract Background Mutations that impair mitochondrial functioning are associated with a variety of metabolic and age-related disorders.A barrier to rigorous tests of the role of mitochondrial dysfunction in aging processes has been the lack of model systems with relevant, naturally occurring mitochondrial genetic variation.Toward the goal of deve

Abstract To gain more insight into the physiological function of shade and how shade affects leaf size, we sword plaque investigated the growth, leaf anatomical structure, hormones and genes expressions in soybean.Soybean seeds were sown in plastic pots and were allowed to germinate and grow for 30 days under shade or full sunlight conditions.Shade

Body lotion In this study, we aim to support the evidence-based policy in agricultural biogas production at regional level in Poland.To do so, we set up a decentralized decision framework, simultaneously taking into account the agricultural sector heterogeneity, the biogas technology state-of-the-art and the Polish institutional setting related to

Recent food scares have emphasized the need for traceability in the food chain.This is particularly true in the fish sector, where a large difference in the final price Stemless between wild and farmed fish and even between farmed fish reared in different countries exists.So for these commercial and hygienic reasons it is very important to find use