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Systematic Characterization and Prediction of Tumor-associated Genes in Mouse using microRNA

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成果类型:
期刊论文、会议论文
作者:
Yang, Jincai*杨进才);Guo, Chunjie;Jiang, Xingpeng(蒋兴鹏);Hu, Xiaohua;Shen, Xianjun
通讯作者:
Yang, Jincai
作者机构:
[Jiang, Xingpeng; Yang, Jincai; Shen, Xianjun; Hu, Xiaohua; Guo, Chunjie] Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Yang, Jincai] C
Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
microRNA;tumor-associated genes in mouse;network;conservative analysis;GO analysis;support vector machine
期刊:
2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)
ISSN:
2156-1125
年:
2017
卷:
2017-January
页码:
1338-1344
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;Guo, Chunjie;Jiang, Xingpeng;Hu, Xiaohua;Shen, Xianjun] 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, 31371275]; CCNU from the Colleges' Basic Research and Operation of MOEMinistry of Education, Singapore [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:
Gene (microRNA) identification is a key step in understanding the cellular mechanisms. Compared with biological experiments, computational prediction of disease genes is cheaper and more effortless. In this study, we analyzed the properties of tumor-associated microRNA in mouse and found that tumor-associated genes display 8distinguishingfeatures when compared with genes not yet known to be involved in tumor. The features of tumor-associated genes tend to located at network center and interact with each other were found by analyze the network c...

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