A Novel Method for Predicting Disease-Associated LncRNA-MiRNA Pairs Based on the Higher-Order Orthogonal Iteration
Joint Authors
Feng, Xiang
Wang, Lei
Xuan, Zhanwei
Yu, Jingwen
Ping, Pengyao
Zhao, Haochen
Zhu, Xianyou
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-02
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
A lot of research studies have shown that many complex human diseases are associated not only with microRNAs (miRNAs) but also with long noncoding RNAs (lncRNAs).
However, most of the current existing studies focus on the prediction of disease-related miRNAs or lncRNAs, and to our knowledge, until now, there are few literature studies reported to pay attention to the study of impact of miRNA-lncRNA pairs on diseases, although more and more studies have shown that both lncRNAs and miRNAs play important roles in cell proliferation and differentiation during the recent years.
The identification of disease-related genes provides great insight into the underlying pathogenesis of diseases at a system level.
In this study, a novel model called PADLMHOOI was proposed to predict potential associations between diseases and lncRNA-miRNA pairs based on the higher-order orthogonal iteration, and in order to evaluate its prediction performance, the global and local LOOCV were implemented, respectively, and simulation results demonstrated that PADLMHOOI could achieve reliable AUCs of 0.9545 and 0.8874 in global and local LOOCV separately.
Moreover, case studies further demonstrated the effectiveness of PADLMHOOI to infer unknown disease-related lncRNA-miRNA pairs.
American Psychological Association (APA)
Xuan, Zhanwei& Feng, Xiang& Yu, Jingwen& Ping, Pengyao& Zhao, Haochen& Zhu, Xianyou…[et al.]. 2019. A Novel Method for Predicting Disease-Associated LncRNA-MiRNA Pairs Based on the Higher-Order Orthogonal Iteration. Computational and Mathematical Methods in Medicine،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1130708
Modern Language Association (MLA)
Xuan, Zhanwei…[et al.]. A Novel Method for Predicting Disease-Associated LncRNA-MiRNA Pairs Based on the Higher-Order Orthogonal Iteration. Computational and Mathematical Methods in Medicine No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1130708
American Medical Association (AMA)
Xuan, Zhanwei& Feng, Xiang& Yu, Jingwen& Ping, Pengyao& Zhao, Haochen& Zhu, Xianyou…[et al.]. A Novel Method for Predicting Disease-Associated LncRNA-MiRNA Pairs Based on the Higher-Order Orthogonal Iteration. Computational and Mathematical Methods in Medicine. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1130708
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130708