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EPMDA: an expression-profile based computational model for microRNA-disease association prediction
Huang, YA (Huang, Yu-An); You, ZH (You, Zhu-Hong); Li, LP (Li, Li-Ping); Huang, ZA (Huang, Zhi-An); Xiang, LX (Xiang, Lu-Xuan); Li, XF (Li, Xiao-Fang); Lv, LT (Lv, Lin-Tao)
2017
Source PublicationONCOTARGET
ISSN1949-2553
Volume8Issue:50Pages:87033-87043
Abstract

MicroRNA has become a new star molecule for understanding multiple biological processes and the mechanism of various complex human diseases. Even though a number of computational models have been proposed for predicting the association between microRNAs and various human diseases, most of them are mainly based on microRNA functional similarity and heterogeneous biological networks which suffer from inevitable computational error and bias. In this work, considering the limitation of information resource used by existing methods, we proposed EPMDA model which is the first computational method using the expression profiles of microRNAs to predict the most potential microRNAs associated with various diseases. Based on the dataset constructed from HMDD v2.0 database, EPMDA obtained AUCs of 0.8945 and 0.8917 based on the leave-one-out and 5-fold cross validation, respectively. Furthermore, EPMDA was applied to two important human diseases. As a result, 80% and 88% microRNAs in the top-25 lists of Colon Neoplasms and Kidney Neoplasms were confirmed by other databases. The performance comparison of EPMDA with existing prediction models and classical algorithms also demonstrated the reliable prediction ability of EPMDA. It is anticipated that EPMDA can be used as an effective computational tool for future biomedical researches.

KeywordDisease Microrna Expression Profile Biomarker
DOI10.18632/oncotarget.18788
Indexed BySCI
WOS IDWOS:000413341400005
Citation statistics
Document Type期刊论文
Identifierhttp://ir.xjipc.cas.cn/handle/365002/5031
Collection多语种信息技术研究室
Corresponding AuthorYou, ZH (You, Zhu-Hong)
Affiliation1.Xijing Univ, Coll Informat Engn, Xian 710123, Shaanxi, Peoples R China
2.Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Urumqi 830011, Peoples R China
3.Shenzhen Univ, Coll Comp Sci & Software Engn, Shenzhen 518060, Peoples R China
4.Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou, Zhejiang, Peoples R China
Recommended Citation
GB/T 7714
Huang, YA ,You, ZH ,Li, LP ,et al. EPMDA: an expression-profile based computational model for microRNA-disease association prediction[J]. ONCOTARGET,2017,8(50):87033-87043.
APA Huang, YA .,You, ZH .,Li, LP .,Huang, ZA .,Xiang, LX .,...&Lv, LT .(2017).EPMDA: an expression-profile based computational model for microRNA-disease association prediction.ONCOTARGET,8(50),87033-87043.
MLA Huang, YA ,et al."EPMDA: an expression-profile based computational model for microRNA-disease association prediction".ONCOTARGET 8.50(2017):87033-87043.
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