KMS Of Academy of mathematics and systems sciences, CAS
| PRMDA: personalized recommendation-based MiRNA-disease association prediction | |
You, Zhu-Hong1; Wang, Luo-Pin2; Chen, Xing3; Zhang, Shanwen1; Li, Xiao-Fang1; Yan, Gui-Ying4 ; Li, Zheng-Wei5
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| 2017-10-17 | |
| 发表期刊 | ONCOTARGET
 |
| ISSN | 1949-2553 |
| 卷号 | 8期号:49页码:85568-85583 |
| 摘要 | Recently, researchers have been increasingly focusing on microRNAs ( miRNAs) with accumulating evidence indicating that miRNAs serve as a vital role in various biological processes and dysfunctions of miRNAs are closely related with human complex diseases. Predicting potential associations between miRNAs and diseases is attached considerable significance in the domains of biology, medicine, and bioinformatics. In this study, we developed a computational model of Personalized Recommendation-based MiRNA-Disease Association prediction (PRMDA) to predict potential related miRNA for all diseases by implementing personalized recommendation-based algorithm based on integrated similarity for diseases and miRNAs. PRMDA is a global method capable of prioritizing candidate miRNAs for all diseases simultaneously. Moreover, the model could be applied to diseases without any known associated miRNAs. PRMDA obtained AUC of 0.8315 based on leave-one-out cross validation, which demonstrated that PRMDA could be regarded as a reliable tool for miRNA-disease association prediction. Besides, we implemented PRMDA on the HMDD V1.0 and HMDD V2.0 databases for three kinds of case studies about five important human cancers in order to test the performance of the model from different perspectives. As a result, 92%, 94%, 88%, 96% and 88% out of the top 50 candidate miRNAs predicted by PRMDA for Colon Neoplasms, Esophageal Neoplasms, Lymphoma, Lung Neoplasms and Breast Neoplasms, respectively, were confirmed by experimental reports. |
| 关键词 | miRNA disease miRNA-disease association personalized recommendation |
| DOI | 10.18632/oncotarget.20996 |
| 语种 | 英语 |
| 资助项目 | National Natural Science Foundation of China[61772531] ; National Natural Science Foundation of China[11631014] ; National Natural Science Foundation of China[61572506] ; National Natural Science Foundation of China[11371355] ; Pioneer Hundred Talents Program of Chinese Academy of Sciences |
| WOS研究方向 | Oncology ; Cell Biology |
| WOS类目 | Oncology ; Cell Biology |
| WOS记录号 | WOS:000413077800087 |
| 出版者 | IMPACT JOURNALS LLC |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.amss.ac.cn/handle/2S8OKBNM/26759 |
| 专题 | 应用数学研究所 |
| 通讯作者 | Chen, Xing |
| 作者单位 | 1.Xijing Univ, Dept Informat Engn, Xian, Shaanxi, Peoples R China 2.Wuhan Univ, Int Software Sch, Wuhan, Hubei, Peoples R China 3.China Univ Min & Technol, Sch Informat & Control Engn, Xuzhou, Peoples R China 4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 5.Sch Comp Sci & Technol, Hefei, Anhui, Peoples R China |
| 推荐引用方式 GB/T 7714 | You, Zhu-Hong,Wang, Luo-Pin,Chen, Xing,et al. PRMDA: personalized recommendation-based MiRNA-disease association prediction[J]. ONCOTARGET,2017,8(49):85568-85583. |
| APA | You, Zhu-Hong.,Wang, Luo-Pin.,Chen, Xing.,Zhang, Shanwen.,Li, Xiao-Fang.,...&Li, Zheng-Wei.(2017).PRMDA: personalized recommendation-based MiRNA-disease association prediction.ONCOTARGET,8(49),85568-85583. |
| MLA | You, Zhu-Hong,et al."PRMDA: personalized recommendation-based MiRNA-disease association prediction".ONCOTARGET 8.49(2017):85568-85583. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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