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	A novel semi-supervised model for miRNA-disease association prediction based on [Formula: see text]-norm graph.
	Cheng Liang; Shengpeng Yu; Ka-Chun Wong; Jiawei Luo
刊名	Journal of translational medicine
	2018
卷号	Vol.16 No.1页码:357
关键词	-norm graph Semi-supervised learning miRNA-disease association
ISSN号	1479-5876
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5469927
专题	湖南大学
作者单位	School of Information Science and Engineering, Shandong Normal University, Jinan, 250358, China. alcs417@sdnu.edu.cn. School of Information Science and Engineering, Shandong Normal University, Jinan, 250358, China. Department of Computer Science, City University of Hong Kong, Kowloon Tong, 999077, Hong Kong. College of Information Science and Engineering, Hunan University, Changsha, 410082, China. luojiawei@hnu.edu.cn.
推荐引用方式 GB/T 7714	Cheng Liang,Shengpeng Yu,Ka-Chun Wong,et al. A novel semi-supervised model for miRNA-disease association prediction based on [Formula: see text]-norm graph.[J]. Journal of translational medicine,2018,Vol.16 No.1:357.
APA	Cheng Liang,Shengpeng Yu,Ka-Chun Wong,&Jiawei Luo.(2018).A novel semi-supervised model for miRNA-disease association prediction based on [Formula: see text]-norm graph..Journal of translational medicine,Vol.16 No.1,357.
MLA	Cheng Liang,et al."A novel semi-supervised model for miRNA-disease association prediction based on [Formula: see text]-norm graph.".Journal of translational medicine Vol.16 No.1(2018):357.

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