Prediction of circRNA-disease associations based on inductive matrix completion
文献类型：期刊论文
| 作者 | Li, Menglu1; Liu, Mengya2; Bin, Yannan1; Xia, Junfeng1 |
| 刊名 | BMC MEDICAL GENOMICS
 |
| 出版日期 | 2020 |
| 卷号 | 13 |
| ISSN号 | 1755-8794 |
| 其他题名 | Prediction of circRNA-disease associations based on inductive matrix completion |
| 英文摘要 | Background Currently, numerous studies indicate that circular RNA (circRNA) is associated with various human complex diseases. While identifying disease-related circRNAs in vivo is time- and labor-consuming, a feasible and effective computational method to predict circRNA-disease associations is worthy of more studies. Results Here, we present a new method called SIMCCDA (Speedup Inductive Matrix Completion for CircRNA-Disease Associations prediction) to predict circRNA-disease associations. Based on known circRNA-disease associations, circRNA sequence similarity, disease semantic similarity, and the computed Gaussian interaction profile kernel similarity, we used speedup inductive matrix completion to construct the model. The proposed SIMCCDA method obtains an area under ROC curve (AUC) of 0.8465 with leave-one-out cross validation in the dataset, which is obtained by the combination of the three databases (circRNA disease, circ2Disease and circR2Disease). Our method surpasses other state-of-art models in predicting circRNA-disease associations. Furthermore, we conducted case studies in breast cancer, stomach cancer and colorectal cancer for further performance evaluation. Conclusion All the results show reliable prediction ability of SIMCCDA. We anticipate that SIMCCDA could be utilized to facilitate further developments in the field and follow-up investigations by biomedical researchers. |
| 资助项目 | [National Natural Science Foundation of China] ; [Anhui Provincial Outstanding Young Talent Support Plan] ; [Young Wanjiang Scholar Program of Anhui Province] ; [Key Project of Anhui Provincial Education Department] ; [China Postdoctoral Science Foundation] ; [Anhui Provincial Postdoctoral Science Foundation] |
| 语种 | 英语 |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/124221]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 作者单位 | 1.Anhui University 2.Hefei Institutes of Physical Science, Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Li, Menglu,Liu, Mengya,Bin, Yannan,et al. Prediction of circRNA-disease associations based on inductive matrix completion[J]. BMC MEDICAL GENOMICS,2020,13. |
| APA | Li, Menglu,Liu, Mengya,Bin, Yannan,&Xia, Junfeng.(2020).Prediction of circRNA-disease associations based on inductive matrix completion.BMC MEDICAL GENOMICS,13. |
| MLA | Li, Menglu,et al."Prediction of circRNA-disease associations based on inductive matrix completion".BMC MEDICAL GENOMICS 13(2020). |
入库方式： OAI收割
来源：合肥物质科学研究院
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。