A heterogeneous label propagation approach to explore the potential associations between miRNA and disease
文献类型：期刊论文
| 作者 | Chen,Xing1; Zhang,De-Hong1; You,Zhu-Hong2 |
| 刊名 | Journal of Translational Medicine
 |
| 出版日期 | 2018-12-11 |
| 卷号 | 16期号:1 |
| 关键词 | miRNA Disease miRNA-disease association Multi-network Label propagation |
| ISSN号 | 1479-5876 |
| DOI | 10.1186/s12967-018-1722-1 |
| 英文摘要 | 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. |
| 语种 | 英语 |
| WOS记录号 | BMC:10.1186/S12967-018-1722-1 |
| 出版者 | BioMed Central |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/31496]  |
| 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). |
入库方式： OAI收割
来源：数学与系统科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。