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Prioritizing disease-causing microbes based on random walking on the heterogeneous network

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成果类型:
期刊论文
作者:
Shen, Xianjun*;Chen, Yao;Jiang, Xingpeng(蒋兴鹏);Hu, Xiaohua;He, Tingting(何婷婷);...
通讯作者:
Shen, Xianjun
作者机构:
[Jiang, Xingpeng; Yang, Jincai; He, Tingting; Shen, Xianjun; Hu, Xiaohua; Chen, Yao] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Shen, Xianjun] C
Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
*Disease network;*Heterogeneous network;*Microbe network;*Random walk
期刊:
Methods
ISSN:
1046-2023
年:
2017
卷:
124
页码:
120-125
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61532008]; Self-determined Research Funds of CCNU from the Colleges' Basic Research and Operation of MOE [CCNU17TS0003, CCNU16JYKX018]; National Key Research and Development Program of China [SQ2017YFSF090207]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
As we all know, the microbiota show remarkable variability within individuals. At the same time, those microorganisms living in the human body play a very important role in our health and disease, so the identification of the relationships between microbes and diseases will contribute to better understanding of microbes interactions, mechanism of functions. However, the microbial data which are obtained through the related technical sequencing is too much, but the known associations between the diseases and microbes are very less. In bioinformatics, many researchers choose the network topology...

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