EPuL: An Enhanced Positive-Unlabeled Learning Algorithm for the Prediction of Pupylation Sites.

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作者： Xuanguo,Nan ^[1] ; Lingling,Bao ^[2] ; Xiaosa,Zhao ^[3] ; Xiaowei,Zhao ^[4] ; Arun Kumar,Sangaiah ^[5] ; Gai-Ge,Wang ^[6] ; Zhiqiang,Ma ^[7]

作者单位： School of Information Science and Technology, Northeast Normal University, Changchun 130117, China. biocs_nenu@126.com. ^[1] School of Information Science and Technology, Northeast Normal University, Changchun 130117, China. baoll601@nenu.edu.cn. ^[2] School of Information Science and Technology, Northeast Normal University, Changchun 130117, China. zhaoxs686@nenu.edu.cn. ^[3] School of Information Science and Technology, Northeast Normal University, Changchun 130117, China. zhaoxw303@nenu.edu.cn. ^[4] School of Computing Science and Engineering, VIT University, Vellore 632014, Tamil Nadu, India. arunkumarsangaiah@gmail.com. ^[5] School of Computer Science and Technology, Jiangsu Normal University, Xuzhou 221116, China. gaigewang@163.com. ^[6] School of Information Science and Technology, Northeast Normal University, Changchun 130117, China. zhiqiang.ma967@gmail.com. ^[7]

关键词 positive-unlabeled learning algorithm prediction pupylation sites support vector machine web server

主题词算法(Algorithms);计算生物学(Computational Biology);数据库, 蛋白质(Databases, Protein);蛋白质结合(Protein Binding);蛋白质加工, 转译后(Protein Processing, Post-Translational);蛋白质类(Proteins);软件(Software)

DOI 10.3390/molecules22091463

PMID 28872627

发布时间 2021-01-09

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