Mining the bioinformation of differentially expressed genes in lung treated with the hypoxia based on the bioinformatics methods

Cuihong Zhou; Xiaoyan Deng; Jun Zhou; De Bi; Huajun Xiao

doi:10.1109/icbbe.2011.5780176

Mining the bioinformation of differentially expressed genes in lung treated with the hypoxia based on the bioinformatics methods

Cuihong Zhou
, Xiaoyan Deng
, Jun Zhou
, De Bi
, Huajun Xiao^*

^*此作品的通讯作者

生物与医学工程学院

Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Objective: To analyze the differentially expressed genes expressed genes in human pulmonary microvascular endothelial cells (HMVEC-L) that cultured in hypoxia environment for getting better understanding of the molecular characteristics caused by hypoxia. Methods: Got the microarray hybridization data from the Gene Expression Omnibus (GEO) database. Identified the differentially expressed genes expressed genes in hypoxic HMVEC-L and the patterns of their regulation using public bioinformatics software and database, which involved BRB-Arraytools, Genecodis, GO and KEGG. Results and Conclusion: These data mining findings between normal and hypoxic HMVEC-L by bioinformatics methods could provide better understanding of the molecular activity change caused by hypoxia.

源语言	英语
主期刊名	5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011
DOI	https://doi.org/10.1109/icbbe.2011.5780176
出版状态	已出版 - 2011
活动	5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011 - Wuhan, 中国期限: 10 5月 2011 → 12 5月 2011

出版系列

姓名	5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011

会议

会议	5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011
国家/地区	中国
市	Wuhan
时期	10/05/11 → 12/05/11

访问文件

10.1109/icbbe.2011.5780176

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhou, C., Deng, X., Zhou, J., Bi, D., & Xiao, H. (2011). Mining the bioinformation of differentially expressed genes in lung treated with the hypoxia based on the bioinformatics methods. 在 5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011 文章 5780176 (5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011). https://doi.org/10.1109/icbbe.2011.5780176

@inproceedings{dacaf5d395814947ab1cecd0e4c9628e,

title = "Mining the bioinformation of differentially expressed genes in lung treated with the hypoxia based on the bioinformatics methods",

abstract = "Objective: To analyze the differentially expressed genes expressed genes in human pulmonary microvascular endothelial cells (HMVEC-L) that cultured in hypoxia environment for getting better understanding of the molecular characteristics caused by hypoxia. Methods: Got the microarray hybridization data from the Gene Expression Omnibus (GEO) database. Identified the differentially expressed genes expressed genes in hypoxic HMVEC-L and the patterns of their regulation using public bioinformatics software and database, which involved BRB-Arraytools, Genecodis, GO and KEGG. Results and Conclusion: These data mining findings between normal and hypoxic HMVEC-L by bioinformatics methods could provide better understanding of the molecular activity change caused by hypoxia.",

keywords = "Bioinformatics, Data mining, Database, Gene, Hypoxia",

author = "Cuihong Zhou and Xiaoyan Deng and Jun Zhou and De Bi and Huajun Xiao",

year = "2011",

doi = "10.1109/icbbe.2011.5780176",

language = "英语",

isbn = "9781424450893",

series = "5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011",

booktitle = "5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011",

note = "5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011 ; Conference date: 10-05-2011 Through 12-05-2011",

}

Zhou, C, Deng, X, Zhou, J, Bi, D & Xiao, H 2011, Mining the bioinformation of differentially expressed genes in lung treated with the hypoxia based on the bioinformatics methods. 在 5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011., 5780176, 5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011, 5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011, Wuhan, 中国, 10/05/11. https://doi.org/10.1109/icbbe.2011.5780176

Mining the bioinformation of differentially expressed genes in lung treated with the hypoxia based on the bioinformatics methods. / Zhou, Cuihong; Deng, Xiaoyan; Zhou, Jun 等.
5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011. 2011. 5780176 (5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Mining the bioinformation of differentially expressed genes in lung treated with the hypoxia based on the bioinformatics methods

AU - Zhou, Cuihong

AU - Deng, Xiaoyan

AU - Zhou, Jun

AU - Bi, De

AU - Xiao, Huajun

PY - 2011

Y1 - 2011

N2 - Objective: To analyze the differentially expressed genes expressed genes in human pulmonary microvascular endothelial cells (HMVEC-L) that cultured in hypoxia environment for getting better understanding of the molecular characteristics caused by hypoxia. Methods: Got the microarray hybridization data from the Gene Expression Omnibus (GEO) database. Identified the differentially expressed genes expressed genes in hypoxic HMVEC-L and the patterns of their regulation using public bioinformatics software and database, which involved BRB-Arraytools, Genecodis, GO and KEGG. Results and Conclusion: These data mining findings between normal and hypoxic HMVEC-L by bioinformatics methods could provide better understanding of the molecular activity change caused by hypoxia.

AB - Objective: To analyze the differentially expressed genes expressed genes in human pulmonary microvascular endothelial cells (HMVEC-L) that cultured in hypoxia environment for getting better understanding of the molecular characteristics caused by hypoxia. Methods: Got the microarray hybridization data from the Gene Expression Omnibus (GEO) database. Identified the differentially expressed genes expressed genes in hypoxic HMVEC-L and the patterns of their regulation using public bioinformatics software and database, which involved BRB-Arraytools, Genecodis, GO and KEGG. Results and Conclusion: These data mining findings between normal and hypoxic HMVEC-L by bioinformatics methods could provide better understanding of the molecular activity change caused by hypoxia.

KW - Bioinformatics

KW - Data mining

KW - Database

KW - Gene

KW - Hypoxia

UR - https://www.scopus.com/pages/publications/79960140710

U2 - 10.1109/icbbe.2011.5780176

DO - 10.1109/icbbe.2011.5780176

M3 - 会议稿件

AN - SCOPUS:79960140710

SN - 9781424450893

T3 - 5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011

BT - 5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011

T2 - 5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011

Y2 - 10 May 2011 through 12 May 2011

ER -

Zhou C, Deng X, Zhou J, Bi D, Xiao H. Mining the bioinformation of differentially expressed genes in lung treated with the hypoxia based on the bioinformatics methods. 在 5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011. 2011. 5780176. (5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011). doi: 10.1109/icbbe.2011.5780176

Mining the bioinformation of differentially expressed genes in lung treated with the hypoxia based on the bioinformatics methods

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会议

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