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WBSMDA: Within and Between Score for MiRNA-Disease Association prediction

文献类型：期刊论文

作者Chen, Xing7,8; Yan, Chenggang Clarence4,6; Zhang, Xu5; You, Zhu-Hong9; Deng, Lixi1,10; Liu, Ying3; Zhang, Yongdong2; Dai, Qionghai6
刊名SCIENTIFIC REPORTS
出版日期2016-02-16
卷号6页码:9
ISSN号2045-2322
DOI10.1038/srep21106
英文摘要Increasing evidences have indicated that microRNAs (miRNAs) are functionally associated with the development and progression of various complex human diseases. However, the roles of miRNAs in multiple biological processes or various diseases and their underlying molecular mechanisms still have not been fully understood yet. Predicting potential miRNA-disease associations by integrating various heterogeneous biological datasets is of great significance to the biomedical research. Computational methods could obtain potential miRNA-disease associations in a short time, which significantly reduce the experimental time and cost. Considering the limitations in previous computational methods, we developed the model of Within and Between Score for MiRNA-Disease Association prediction (WBSMDA) to predict potential miRNAs associated with various complex diseases. WBSMDA could be applied to the diseases without any known related miRNAs. The AUC of 0.8031 based on Leave-one-out cross validation has demonstrated its reliable performance. WBSMDA was further applied to Colon Neoplasms, Prostate Neoplasms, and Lymphoma for the identification of their potential related miRNAs. As a result, 90%, 84%, and 80% of predicted miRNA-disease pairs in the top 50 prediction list for these three diseases have been confirmed by recent experimental literatures, respectively. It is anticipated that WBSMDA would be a useful resource for potential miRNA-disease association identification.
资助项目National Natural Science of Foundation of China[11301517] ; National Natural Science of Foundation of China[61472203] ; National Natural Science of Foundation of China[61327902] ; National Natural Science of Foundation of China[61572506] ; National Center for Mathematics and Interdisciplinary Sciences, CAS
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000370384300001
出版者NATURE PUBLISHING GROUP
源URL[http://119.78.100.204/handle/2XEOYT63/8772]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Chen, Xing; Liu, Ying
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
3.Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China
4.Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou 310018, Peoples R China
5.Shandong Univ, Sch Mech Elect & Informat Engn, Shandong, Peoples R China
6.Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
7.Chinese Acad Sci, Natl Ctr Math & Interdisciplinary Sci, Beijing 100190, Peoples R China
8.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
9.China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221116, Peoples R China
10.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Xing,Yan, Chenggang Clarence,Zhang, Xu,et al. WBSMDA: Within and Between Score for MiRNA-Disease Association prediction[J]. SCIENTIFIC REPORTS,2016,6:9.
APA Chen, Xing.,Yan, Chenggang Clarence.,Zhang, Xu.,You, Zhu-Hong.,Deng, Lixi.,...&Dai, Qionghai.(2016).WBSMDA: Within and Between Score for MiRNA-Disease Association prediction.SCIENTIFIC REPORTS,6,9.
MLA Chen, Xing,et al."WBSMDA: Within and Between Score for MiRNA-Disease Association prediction".SCIENTIFIC REPORTS 6(2016):9.

入库方式： OAI收割

来源：计算技术研究所

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