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Predicting disease-microbe association by random walking on the heterogeneous network

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成果类型:
期刊论文、会议论文
作者:
Shen, Xianjun;Chen, Yao;Jiang, Xingpeng(蒋兴鹏);Hu, Xiaohua;He, Tingting(何婷婷);...
通讯作者:
Yang, Jincai(杨进才
作者机构:
[Jiang, Xingpeng; Yang, Jincai; He, Tingting; Shen, Xianjun; Hu, Xiaohua; Chen, Yao] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
通讯机构:
[Yang, Jincai] C
Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
语种:
英文
关键词:
disease network;microbe network;random walk;heterogeneous network
期刊:
2016 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)
ISSN:
2156-1125
年:
2017
页码:
771-774
会议名称:
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
会议论文集名称:
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
会议时间:
December 2016
会议地点:
Shenzhen
会议主办单位:
[Shen, Xianjun;Chen, Yao;Jiang, Xingpeng;Hu, Xiaohua;He, Tingting;Yang, Jincai] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
会议赞助商:
IEEE, IEEE Comp Soc, Natl Sci Fdn, Harbin Inst Technol
主编:
Tian, T Jiang, Q Liu, Y Burrage, K Song, J Wang, Y Hu, X Morishita, S Zhu, Q Wang, G
出版地:
10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
出版者:
IEEE
ISBN:
978-1-5090-1612-9
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61532008, 61300144]; International Cooperation Project of Hubei Province [2014BHE0017]; self-determined research funds of CCNU from the colleges' basic research and operation of MOE [CCNU16JYKX18]
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:
The microbiota living in the human body plays a very important role in our health and disease, so the identification of microbes associated with diseases will contribute to improving medical care and to better understanding of microbe functions, interactions. However, the known associations between the diseases and microbes are very less. We proposed a new method for prioritization of candidate microbes to predict disease-microbe relationships that based on the random walking on the heterogeneous network. Here, we first constructed a heterogeneous network by connecting the disease network and ...

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