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 STRENGTH CURE CONDITIONER 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 dat

Abstract Surface registration is a one of the crucial Male Masturbators and actual problems of computer aided surgery.This paper presents the modification of the non-rigid Iterative Closest Point Algorithm which takes into account an anisotropic noise model and landmarks as guided correspondence at the transformation step in every iteration.The pre

A new species, Atkinsoniella zizhongi sp.nov.of the subfamily Cicadellinae, was described and illustrated from China.The new species is similar to A.nigrominiatula (Jacobi, 1944), A.limba Kuoh, 1991, A.dormana Li, 1992, A.peaka Yang, Meng et Li, 2017, and A.divaricata Yang, Meng et Li, 2017.But the characteristics of aedeagus and pygofer process ca