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	FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs.
	Xiaoying Li; Yaping Lin; Changlong Gu; Jialiang Yang
刊名	BMC systems biology
	2019
卷号	Vol.13 Suppl 2页码:26
关键词	Disease-related miRNA Leave-one-out cross validation Nearest neighbor recommendation algorithm miRNA cluster information miRNA family information
ISSN号	1752-0509
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/4734932
专题	湖南大学
作者单位	College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, Hunan, China. College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, Hunan, China. guchanglong@hnu.edu.cn. Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
推荐引用方式 GB/T 7714	Xiaoying Li,Yaping Lin,Changlong Gu,et al. FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs.[J]. BMC systems biology,2019,Vol.13 Suppl 2:26.
APA	Xiaoying Li,Yaping Lin,Changlong Gu,&Jialiang Yang.(2019).FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs..BMC systems biology,Vol.13 Suppl 2,26.
MLA	Xiaoying Li,et al."FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs.".BMC systems biology Vol.13 Suppl 2(2019):26.

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