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MiRNA-disease interaction prediction based on kernel neighborhood similarity and multi-network bidirectional propagation.

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成果类型:
期刊论文、会议论文
作者:
Ma, Yingjun;He, Tingting(何婷婷);Ge, Leixin;Zhang, Chenhao;Jiang, Xingpeng*蒋兴鹏
通讯作者:
Jiang, Xingpeng(蒋兴鹏
作者机构:
[Ma, Yingjun] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China.
[Jiang, Xingpeng; He, Tingting; Zhang, Chenhao] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.
[Jiang, Xingpeng; He, Tingting] 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.
通讯机构:
[Jiang, Xingpeng] C
Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.
Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
MicroRNA-disease interaction;Heterogeneous omics data;Kernel neighborhood similarity;Bidirectional propagation;Diffusion component analysis
期刊:
BMC Medical Genomics
ISSN:
1755-8794
年:
2019
卷:
12
期:
Suppl 10
页码:
1-14
会议名称:
IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Medical Genomics
会议时间:
DEC 03-06, 2018
会议地点:
Madrid, SPAIN
会议主办单位:
[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.
会议赞助商:
IEEE
出版地:
CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
出版者:
BMC
基金类别:
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).
机构署名:
本校为第一且通讯机构
院系归属:
生命科学学院
数学与统计学学院
计算机学院
摘要:
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:...

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