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m5U-GEPred: prediction of RNA 5-methyluridine sites based on sequence-derived and graph embedding features.

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第一作者： Zhongxing,Xu

第一单位： Department of Public Health, School of Medicine and Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, China.;School of AI and Advanced Computing, Xi'an Jiaotong-Liverpool University, Suzhou, China.

作者： Zhongxing,Xu ^[1] ; Xuan,Wang ^[2] ; Jia,Meng ^[3] ; Lin,Zhang ^[4] ; Bowen,Song ^[5]

作者单位： Department of Public Health, School of Medicine and Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, China.;School of AI and Advanced Computing, Xi'an Jiaotong-Liverpool University, Suzhou, China. ^[1] Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.;Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom. ^[2] Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.;Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom.;AI University Research Centre, Xi'an Jiaotong-Liverpool University, Suzhou, China. ^[3] School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China. ^[4] Department of Public Health, School of Medicine and Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, China. ^[5]

关键词 5-methyluridine RNA modification graph embedding multi-species sequence feature

DOI 10.3389/fmicb.2023.1277099

PMID 37937221

发布时间 2023-11-09

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