LLCLPLDA: a novel model for predicting lncRNA-disease associations

doi:10.1007/s00438-019-01590-8

	LLCLPLDA: a novel model for predicting lncRNA-disease associations
	Xie, Guobo 1; Huang, Shuhuang 1; Luo, Yu 1; Ma, Lei2 ; Lin, Zhiyi 1; Sun, Yuping 1
发表期刊	MOLECULAR GENETICS AND GENOMICS
ISSN	1617-4615
	2019-12-01
卷号	294 期号:6 页码:1477-1486
通讯作者	Luo, Yu(yuluo@gdut.edu.cn) ; Ma, Lei(lei.ma@ia.ac.cn)
摘要	Long noncoding RNAs play a significant role in the occurrence of diseases. Thus, studying the relationship prediction between lncRNAs and disease is becoming more popular. Researchers hope to determine effective treatments by revealing the occurrence and development of diseases at the molecular level. However, the traditional biological experimental way to verify the association between lncRNAs and disease is very time-consuming and expensive. Therefore, we developed a method called LLCLPLDA to predict potential lncRNA-disease associations. First, locality-constrained linear coding (LLC) is leveraged to project the features of lncRNAs and diseases to local-constraint features, and then, a label propagation (LP) strategy is used to mix up the initial association matrix and the obtained features of lncRNAs and diseases. To demonstrate the performance of our method, we compared LLCLPLDA with five methods in the leave-one-out cross-validation and fivefold cross-validation scheme, and the experimental results show that the proposed method outperforms the other five methods. Additionally, we conducted case studies on three diseases: cervical cancer, gliomas, and breast cancer. The top five predicted lncRNAs for cervical cancer and gliomas were verified, and four of the five lncRNAs for breast cancer were also confirmed.
关键词	Locality-constrained linear coding Label propagation lncRNA-disease associations Prediction
DOI	10.1007/s00438-019-01590-8
关键词[WOS]	LARGE NONCODING RNAS ; CERVICAL-CANCER ; HUMAN GLIOMA ; BREAST ; GENOME ; IDENTIFICATION ; EXPRESSION ; INSIGHTS ; CELLS
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[618002072] ; National Natural Science Foundation of China[61702112] ; Natural Science Foundation of Guangdong Province[2018A030313389] ; Science and Technology Plan Project of Guangdong Province[2017A040405050] ; Science and Technology Plan Project of Guangdong Province[2016B030306004] ; Science and Technology Plan Project of Guangdong Province[2016B030301008] ; Opening Project of the Guangdong Province Key Laboratory of Computational Science[2018012] ; National Natural Science Foundation of China[618002072] ; National Natural Science Foundation of China[61702112] ; Natural Science Foundation of Guangdong Province[2018A030313389] ; Science and Technology Plan Project of Guangdong Province[2017A040405050] ; Science and Technology Plan Project of Guangdong Province[2016B030306004] ; Science and Technology Plan Project of Guangdong Province[2016B030301008] ; Opening Project of the Guangdong Province Key Laboratory of Computational Science[2018012]
项目资助者	National Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province ; Science and Technology Plan Project of Guangdong Province ; Opening Project of the Guangdong Province Key Laboratory of Computational Science
WOS研究方向	Biochemistry & Molecular Biology ; Genetics & Heredity
WOS类目	Biochemistry & Molecular Biology ; Genetics & Heredity
WOS记录号	WOS:000494505700008
出版者	SPRINGER HEIDELBERG
七大方向——子方向分类	图像视频处理与分析
引用统计	被引频次：15[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/28887
专题	复杂系统认知与决策实验室_高效智能计算与学习
通讯作者	Luo, Yu; Ma, Lei
作者单位	1.Guangdong Univ Technol, Sch Comp Sci, Guangzhou, Guangdong, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Xie, Guobo,Huang, Shuhuang,Luo, Yu,et al. LLCLPLDA: a novel model for predicting lncRNA-disease associations[J]. MOLECULAR GENETICS AND GENOMICS,2019,294(6):1477-1486.
APA	Xie, Guobo,Huang, Shuhuang,Luo, Yu,Ma, Lei,Lin, Zhiyi,&Sun, Yuping.(2019).LLCLPLDA: a novel model for predicting lncRNA-disease associations.MOLECULAR GENETICS AND GENOMICS,294(6),1477-1486.
MLA	Xie, Guobo,et al."LLCLPLDA: a novel model for predicting lncRNA-disease associations".MOLECULAR GENETICS AND GENOMICS 294.6(2019):1477-1486.