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A heterogeneous label propagation approach to explore the potential associations between miRNA and disease
Chen,Xing1; Zhang,De-Hong1; You,Zhu-Hong2
2018-12-11
Source PublicationJournal of Translational Medicine
ISSN1479-5876
Volume16Issue:1
AbstractAbstractBackgroundResearch on microRNAs (miRNAs) has attracted increasingly worldwide attention over recent years as growing experimental results have made clear that miRNA correlates with masses of critical biological processes and the occurrence, development, and diagnosis of human complex diseases. Nonetheless, the known miRNA-disease associations are still insufficient considering plenty of human miRNAs discovered now. Therefore, there is an urgent need for effective computational model predicting novel miRNA-disease association prediction to save time and money for follow-up biological experiments.MethodsIn this study, considering the insufficiency of the previous computational methods, we proposed the model named heterogeneous label propagation for MiRNA-disease association prediction (HLPMDA), in which a heterogeneous label was propagated on the multi-network of miRNA, disease and long non-coding RNA (lncRNA) to infer the possible miRNA-disease association. The strength of the data about lncRNA–miRNA association and lncRNA-disease association enabled HLPMDA to produce a better prediction.ResultsHLPMDA achieved AUCs of 0.9232, 0.8437 and 0.9218?±?0.0004 based on global and local leave-one-out cross validation and 5-fold cross validation, respectively. Furthermore, three kinds of case studies were implemented and 47 (esophageal neoplasms), 49 (breast neoplasms) and 46 (lymphoma) of top 50 candidate miRNAs were proved by experiment reports.ConclusionsAll the results adequately showed that HLPMDA is a recommendable miRNA-disease association prediction method. We anticipated that HLPMDA could help the follow-up investigations by biomedical researchers.
KeywordmiRNA Disease miRNA-disease association Multi-network Label propagation
DOI10.1186/s12967-018-1722-1
Language英语
WOS IDBMC:10.1186/s12967-018-1722-1
PublisherBioMed Central
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/31497
Collection中国科学院数学与系统科学研究院
Affiliation1.
2.
Recommended Citation
GB/T 7714
Chen,Xing,Zhang,De-Hong,You,Zhu-Hong. A heterogeneous label propagation approach to explore the potential associations between miRNA and disease[J]. Journal of Translational Medicine,2018,16(1).
APA Chen,Xing,Zhang,De-Hong,&You,Zhu-Hong.(2018).A heterogeneous label propagation approach to explore the potential associations between miRNA and disease.Journal of Translational Medicine,16(1).
MLA Chen,Xing,et al."A heterogeneous label propagation approach to explore the potential associations between miRNA and disease".Journal of Translational Medicine 16.1(2018).
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