A heterogeneous label propagation approach to explore the potential associations between miRNA and disease

doi:10.1186/s12967-018-1722-1

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	A heterogeneous label propagation approach to explore the potential associations between miRNA and disease
	Chen,Xing 1; Zhang,De-Hong 1; You,Zhu-Hong 2
	2018-12-11
发表期刊	Journal of Translational Medicine
ISSN	1479-5876
卷号	16 期号:1
摘要	AbstractBackgroundResearch 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.
关键词	miRNA Disease miRNA-disease association Multi-network Label propagation
DOI	10.1186/s12967-018-1722-1
语种	英语
WOS记录号	BMC:10.1186/s12967-018-1722-1
出版者	BioMed Central
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/31497
专题	中国科学院数学与系统科学研究院
通讯作者	Chen,Xing; You,Zhu-Hong
作者单位	1. 2.
推荐引用方式 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).