A deep learning framework for identifying essential proteins based on multiple biological information.

Background: Essential Proteins are demonstrated to exert vital functions on cellular processes and are indispensable for the survival and reproduction of the organism. Traditional centrality methods perform poorly on complex protein-protein interaction (PPI) networks. Machine learning approaches based on high-throughput data lack the exploitation of the temporal and spatial dimensions of biological information.

The Efficacy of Mesenchymal Stem Cells for Cardiomyopathy: A Meta-analysis of Randomized Controlled Trials.

Introduction: The efficacy of mesenchymal stem cells (MSCs) for cardiomyopathy remains controversial. We conducted a systematic review and meta-analysis to explore the influence of MSCs versus placebo on the treatment efficacy of cardiomyopathy.

Methods: We searched PubMed, EMbase, Web of Science, EBSCO, and Cochrane Library databases through November 2018 for randomized controlled trials (RCTs) assessing the treatment efficacy of MSCs versus placebo for cardiomyopathy.