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 Skateboard analyzing multi-omics data and by applying a machine learning approach.Methods At the transcriptomic level, four microarray datasets (GSE41177

Quiddity questions are of the main five questions of historical investigations focusing on the discovery of the quiddity of historical events.The concept of quiddity questions and the strategies taken to answer them are considered as the most important issues being worth to be reflected.This article tries to Air Bags investigate these issues Baby r

Introduction: Women with breast cancer are often prescribed aromatase inhibitors, which can cause rapid loss of bone mass leading to significant potential for morbidity.Vibration training has been shown to be helpful in reducing bone turnover in postmenopausal women without cancer.Aim: To examine the effect of vibration stimulus on markers of bone

Solvent exchange induced in situ forming gel (ISG) is the promising drug delivery system for periodontitis treatment owing to the prospect of maintaining an effective high drug level in the gingival crevicular fluid.In the present study, the influence of clove oil (CO) on the characteristics of doxycycline hyclate (DH)-loaded ISG comprising Eudragi