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Classify and identify the risky Loci of type 2 diabetes with computational method

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成果类型:
期刊论文、会议论文
作者:
Yang, Jincai(杨进才);Zhang, Fuli;Jiang, Xingpeng*蒋兴鹏);Shen, Xianjun;Hu, Xiaohua
通讯作者:
Jiang, Xingpeng(蒋兴鹏
作者机构:
[Jiang, Xingpeng; Yang, Jincai; Shen, Xianjun; Hu, Xiaohua; Zhang, Fuli] Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Jiang, Xingpeng] C
Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
genome-wide association studies;single nucleotide polymorphisms;type 2 diabetes;C4.5 decision tree;random walk;PPI network
期刊:
2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)
ISSN:
2156-1125
年:
2017
卷:
2017-January
页码:
1331-1337
会议名称:
Biological Ontologies and Knowledge Bases Workshop at IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM)
会议论文集名称:
IEEE International Conference on Bioinformatics and Biomedicine-BIBM
会议时间:
NOV 13-16, 2017
会议地点:
Kansas City, MI
会议主办单位:
[Yang, Jincai;Zhang, Fuli;Jiang, Xingpeng;Shen, Xianjun;Hu, Xiaohua] Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Hubei, Peoples R China.
会议赞助商:
IEEE, IEEE Comp Soc, IEEE Tech Comm Computat Life Sci
主编:
Hu, XH Shyu, CR Bromberg, Y Gao, J Gong, Y Korkin, D Yoo, I Zheng, JH
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-5090-3050-7
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61532008]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [CCNU17TS0003]
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:
Genome-wide association studies (GWAS) of T2D have discovered a number of loci that contribute to susceptibility to the disease. In this paper, we classified and identified the suspected risky Loci of T2D with computational method based on the known T2D GWAS-associated SNPs. The framework includes two parts: we first classified the SNPs based on their features of position and function through a simplified classification decision tree which was constructed by C4.5 decision tree algorithm; we then identified whether the genes associated with the ...

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