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

doi:10.1038/srep21106

CSpace

	WBSMDA: Within and Between Score for MiRNA-Disease Association prediction
	Chen, Xing 1,2; Yan, Chenggang Clarence 3,4; Zhang, Xu 5; You, Zhu-Hong 6; Deng, Lixi 7,8; Liu, Ying 9; Zhang, Yongdong 10; Dai, Qionghai 4
	2016-02-16
发表期刊	SCIENTIFIC REPORTS
ISSN	2045-2322
卷号	6 页码:9
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.
DOI	10.1038/srep21106
语种	英语
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
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000370384300001
出版者	NATURE PUBLISHING GROUP
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/22088
专题	中国科学院数学与系统科学研究院
通讯作者	Chen, Xing; Liu, Ying
作者单位	1.Chinese Acad Sci, Natl Ctr Math & Interdisciplinary Sci, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 3.Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou 310018, Peoples R China 4.Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China 5.Shandong Univ, Sch Mech Elect & Informat Engn, Shandong, Peoples R China 6.China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221116, Peoples R China 7.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 8.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 9.Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China 10.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, 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.