期刊论文、会议论文

Jiang, Xingpeng（蒋兴鹏）

英文

BMC Medical Genomics

1755-8794

2019

12

Suppl 10

1-14

IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Medical Genomics

DEC 03-06, 2018

Madrid, SPAIN

[Ma, Yingjun] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China.^[He, Tingting;Zhang, Chenhao;Jiang, Xingpeng] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.^[He, Tingting;Jiang, Xingpeng] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan 430079, Hubei, Peoples R China.^[Ge, Leixin] Cent China Normal Univ, Sch Life Sci, Wuhan 430079, Hubei, Peoples R China.

IEEE

CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND

BMC

10.1186/s12920-019-0622-4

The research was supported by the National Key Research and Development Program of China (2017YFC0909502), the National Natural Science Foundation of China (61532008, 61872157). Specifically, the publication costs are funded by the National Key Research and Development Program of China (2017YFC0909502).

本校为第一且通讯机构

BACKGROUND: Studies have shown that miRNAs are functionally associated with the development of many human diseases, but the roles of miRNAs in diseases and their underlying molecular mechanisms have not been fully understood. The research on miRNA-disease interaction has received more and more attention. Compared with the complexity and high cost of biological experiments, computational methods can rapidly and efficiently predict the potential miRNA-disease interaction and can be used as a beneficial supplement to experimental methods. RESULTS: In this paper, we proposed a novel computational ...