***:a probabilistic voting-based enhancer-promoter interaction prediction platform

作     者：Yuyang Zhang Haoyu Wang Jing Liu Junlin Li Qing Zhang Bixia Tang Zhihua Zhang Yuyang Zhang;Haoyu Wang;Jing Liu;Junlin Li;Qing Zhang;Bixia Tang;Zhihua Zhang

作者机构：CAS Key Laboratory of Genome Sciences and InformationBeijing Institute of GenomicsChinese Academy of Sciencesand China National Center for BioinformationBeijing 100101China College of Life SciencesUniversity of Chinese Academy of SciencesBeijing 100049China School of Artificial IntelligenceUniversity of Chinese Academy of SciencesBeijing 100049China 

出 版 物：《Journal of Genetics and Genomics》 (遗传学报（英文版）)

年 卷 期：2023年第50卷第7期

页      面：519-527页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0711[理学-系统科学] 07[理学] 08[工学] 

基　　金：Special Investigation on Science and Technology Basic Resources of MOST,China(2019FY100102) the Science and Technology Innovation 2030-Major Project(2022ZD04017) the National Key R&D Program of China(2018YFC2000400) the National Natural Science Foundation of China(31871331,31671342,91940304) the Beijing Natural Science Foundation(Z200021) 

主　　题：Enhancer-promoter interaction Hi-C Prediction Benchmark Web server 

摘      要：Enhancer promoter interaction(EPI)involves most of gene transcriptional regulation in the high *** the EPIs from given genomic loci or DNA sequences is not a trivial *** benchmarking work so far for EPI predictors is more or less empirical and lacks quantitative model-based comparisons,posing challenges for molecular biologists to obtain reliable EPI ***,we present an EPI prediction platform,namely *** on a statistic model of the data integration,*** is capable of comprehensively assessing the predictions from four state-of-the-art EPI *** with a userfriendly interface and visualization platform,*** presents the sorted results with the confidence of EPI relevance,which may guide the molecular biologists who lack the pre-knowledge of the algorithms of EPI ***,we showcase the utility of *** with a case *** provides a powerful tool to fuel the gene regulation and 3D genome studies by ease-to-access EPI *** can be freely accessed at https://***/deltaEPI/.