IMPMD: An Integrated Method for Predicting Potential Associations Between miRNAs and Diseases

doi:10.2174/1389202920666191023090215

	IMPMD: An Integrated Method for Predicting Potential Associations Between miRNAs and Diseases
	Wu, Meiqi 1; Yang, Yingxi 2; Wang, Hui 3; Ding, Jun 1; Zhu, Huan 1; Xu, Yan 1
	2019
发表期刊	CURRENT GENOMICS
ISSN	1389-2029
卷号	20 期号:8 页码:581-591
摘要	Background: With the rapid development of biological research, microRNAs (miRNAs) have increasingly attracted worldwide attention. The increasing biological studies and scientific experiments have proven that miRNAs are related to the occurrence and development of a large number of key biological processes which cause complex human diseases. Thus, identifying the association between miRNAs and disease is helpful to diagnose the diseases. Although some studies have found considerable associations between miRNAs and diseases, there are still a lot of associations that need to be identified. Experimental methods to uncover miRNA-disease associations are time-consuming and expensive. Therefore, effective computational methods are urgently needed to predict new associations. Methodology: In this work, we propose an integrated method for predicting potential associations between miRNAs and diseases (IMPMD). The enhanced similarity for miRNAs is obtained by combination of functional similarity, gaussian similarity and Jaccard similarity. To diseases, it is obtained by combination of semantic similarity, gaussian similarity and Jaccard similarity. Then, we use these two enhanced similarities to construct the features and calculate cumulative score to choose robust features. Finally, the general linear regression is applied to assign weights for Support Vector Machine, K-Nearest Neighbor and Logistic Regression algorithms. Results: IMPMD obtains AUC of 0.9386 in 10-fold cross-validation, which is better than most of the previous models. To further evaluate our model, we implement IMPMD on two types of case studies for lung cancer and breast cancer. 49 (Lung Cancer) and 50 (Breast Cancer) out of the top 50 related miRNAs are validated by experimental discoveries. Conclusion: We built a software named IMPMD which can be freely downloaded from https://github.com/Sunmile/IMPMD.
关键词	miRNA disease miRNA-disease associations integrated algorithm IMPMD computational methods
DOI	10.2174/1389202920666191023090215
收录类别	SCI
语种	英语
资助项目	Natural Science Foundation of China[11671032]
WOS研究方向	Biochemistry & Molecular Biology ; Genetics & Heredity
WOS类目	Biochemistry & Molecular Biology ; Genetics & Heredity
WOS记录号	WOS:000509467300006
出版者	BENTHAM SCIENCE PUBL LTD
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/15013
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Xu, Yan
作者单位	1.Univ Sci & Technol Beijing, Dept Informat & Comp Sci, Beijing 100083, Peoples R China 2.Hong Kong Univ Sci & Technol, Dept Chem & Biol Engn, Hong Kong, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Wu, Meiqi,Yang, Yingxi,Wang, Hui,et al. IMPMD: An Integrated Method for Predicting Potential Associations Between miRNAs and Diseases[J]. CURRENT GENOMICS,2019,20(8):581-591.
APA	Wu, Meiqi,Yang, Yingxi,Wang, Hui,Ding, Jun,Zhu, Huan,&Xu, Yan.(2019).IMPMD: An Integrated Method for Predicting Potential Associations Between miRNAs and Diseases.CURRENT GENOMICS,20(8),581-591.
MLA	Wu, Meiqi,et al."IMPMD: An Integrated Method for Predicting Potential Associations Between miRNAs and Diseases".CURRENT GENOMICS 20.8(2019):581-591.