A novel computational model based on super-disease and miRNA for potential miRNA–disease association prediction-Reference-Cited by-同舟云学术

A novel computational model based on super-disease and miRNA for potential miRNA–disease association prediction

Published:2017 Issue:6 Volume:13 Page:1202-1212
ISSN:1742-206X
Container-title:Molecular BioSystems
language:en
Short-container-title:Mol. BioSyst.

Author:

Chen Xing¹²³⁴^ORCID,Jiang Zhi-Chao⁵⁶⁷⁴,Xie Di⁸⁹¹⁰⁴,Huang De-Shuang⁵⁶⁷⁴,Zhao Qi⁸⁹¹⁰⁴¹¹,Yan Gui-Ying¹²¹³¹⁴⁴,You Zhu-Hong¹⁵¹⁶¹⁷⁴^ORCID

Affiliation:

1. School of Information and Control Engineering

2. China University of Mining and Technology

3. Xuzhou

4. China

5. School of Electronics and Information Engineering

6. Tongji University

7. Shanghai

8. School of Mathematics

9. Liaoning University

10. Shenyang

11. Research Center for Computer Simulating and Information Processing of Bio-Macromolecules of Liaoning Province

12. Academy of Mathematics and Systems Science

13. Chinese Academy of Sciences

14. Beijing

15. Xinjiang Technical Institute of Physics and Chemistry

16. Chinese Academy of Science

17. ürümqi

Abstract

Considering the various disadvantages of previous computational models, we proposed a novel computational model based on super-disease and miRNA for potential miRNA–disease association prediction (SDMMDA) to predict potential miRNA–disease associations by integrating known associations, disease semantic similarity, miRNA functional similarity, and Gaussian interaction profile kernel similarity for diseases and miRNAs.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Molecular Biology,Biotechnology

Link

http://pubs.rsc.org/en/content/articlepdf/2017/MB/C6MB00853D

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