CASIA OpenIR
LLCLPLDA: a novel model for predicting lncRNA-disease associations
Xie, Guobo1; Huang, Shuhuang1; Luo, Yu1; Ma, Lei2; Lin, Zhiyi1; Sun, Yuping1
Source PublicationMOLECULAR GENETICS AND GENOMICS
ISSN1617-4615
2019-12-01
Volume294Issue:6Pages:1477-1486
Corresponding AuthorLuo, Yu(yuluo@gdut.edu.cn) ; Ma, Lei(lei.ma@ia.ac.cn)
AbstractLong 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.
KeywordLocality-constrained linear coding Label propagation lncRNA-disease associations Prediction
DOI10.1007/s00438-019-01590-8
WOS KeywordLARGE NONCODING RNAS ; CERVICAL-CANCER ; HUMAN GLIOMA ; BREAST ; GENOME ; IDENTIFICATION ; EXPRESSION ; INSIGHTS ; CELLS
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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 Research AreaBiochemistry & Molecular Biology ; Genetics & Heredity
WOS SubjectBiochemistry & Molecular Biology ; Genetics & Heredity
WOS IDWOS:000494505700008
PublisherSPRINGER HEIDELBERG
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/28887
Collection中国科学院自动化研究所
Corresponding AuthorLuo, Yu; Ma, Lei
Affiliation1.Guangdong Univ Technol, Sch Comp Sci, Guangzhou, Guangdong, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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