A new method for remote protein classification

Yu Gang Li; Zhi Yong Liu; Fa Zhang; Zhen Ge Qiu

doi:10.1109/BMEI.2009.5302560

A new method for remote protein classification

Yu Gang Li^*, Zhi Yong Liu, Fa Zhang, Zhen Ge Qiu

^*此作品的通讯作者

计算机学院

CAS - Institute of Computing Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Protein classification is an important research topic in Bioinformatics. The Support Vector Machine (SVM) based methods, e.g. the SVM-PSV algorithm, are among the most successful ones. Based on our current work, this paper presents an alternative algorithm, the LS-StaticEField algorithm, for protein classification. The LS-StaticEField algorithm is more efficient to compute than SVM based ones and provides satisfying accuracy performance when compared with the SVM-PSV method in the experiments of homology detection based on the SCOP database.

源语言	英语
主期刊名	Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
DOI	https://doi.org/10.1109/BMEI.2009.5302560
出版状态	已出版 - 2009
活动	2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 - Tianjin, 中国期限: 17 10月 2009 → 19 10月 2009

出版系列

姓名	Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

会议

会议	2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
国家/地区	中国
市	Tianjin
时期	17/10/09 → 19/10/09

访问文件

10.1109/BMEI.2009.5302560

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引用此

Li, Y. G., Liu, Z. Y., Zhang, F., & Qiu, Z. G. (2009). A new method for remote protein classification. 在 Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 文章 5302560 (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009). https://doi.org/10.1109/BMEI.2009.5302560

@inproceedings{b555e4cb567848508d3b7073f30cd743,

title = "A new method for remote protein classification",

abstract = "Protein classification is an important research topic in Bioinformatics. The Support Vector Machine (SVM) based methods, e.g. the SVM-PSV algorithm, are among the most successful ones. Based on our current work, this paper presents an alternative algorithm, the LS-StaticEField algorithm, for protein classification. The LS-StaticEField algorithm is more efficient to compute than SVM based ones and provides satisfying accuracy performance when compared with the SVM-PSV method in the experiments of homology detection based on the SCOP database.",

keywords = "Bioinformatics, LS-StaticEField, SCOP, SVM",

author = "Li, {Yu Gang} and Liu, {Zhi Yong} and Fa Zhang and Qiu, {Zhen Ge}",

year = "2009",

doi = "10.1109/BMEI.2009.5302560",

language = "English",

isbn = "9781424441341",

series = "Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009",

booktitle = "Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009",

note = "2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 ; Conference date: 17-10-2009 Through 19-10-2009",

}

Li, YG, Liu, ZY, Zhang, F & Qiu, ZG 2009, A new method for remote protein classification. 在 Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009., 5302560, Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009, 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009, Tianjin, 中国, 17/10/09. https://doi.org/10.1109/BMEI.2009.5302560

A new method for remote protein classification. / Li, Yu Gang; Liu, Zhi Yong; Zhang, Fa 等.
Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009. 2009. 5302560 (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - A new method for remote protein classification

AU - Li, Yu Gang

AU - Liu, Zhi Yong

AU - Zhang, Fa

AU - Qiu, Zhen Ge

PY - 2009

Y1 - 2009

N2 - Protein classification is an important research topic in Bioinformatics. The Support Vector Machine (SVM) based methods, e.g. the SVM-PSV algorithm, are among the most successful ones. Based on our current work, this paper presents an alternative algorithm, the LS-StaticEField algorithm, for protein classification. The LS-StaticEField algorithm is more efficient to compute than SVM based ones and provides satisfying accuracy performance when compared with the SVM-PSV method in the experiments of homology detection based on the SCOP database.

AB - Protein classification is an important research topic in Bioinformatics. The Support Vector Machine (SVM) based methods, e.g. the SVM-PSV algorithm, are among the most successful ones. Based on our current work, this paper presents an alternative algorithm, the LS-StaticEField algorithm, for protein classification. The LS-StaticEField algorithm is more efficient to compute than SVM based ones and provides satisfying accuracy performance when compared with the SVM-PSV method in the experiments of homology detection based on the SCOP database.

KW - Bioinformatics

KW - LS-StaticEField

KW - SCOP

KW - SVM

UR - http://www.scopus.com/inward/record.url?scp=74049140391&partnerID=8YFLogxK

U2 - 10.1109/BMEI.2009.5302560

DO - 10.1109/BMEI.2009.5302560

M3 - Conference contribution

AN - SCOPUS:74049140391

SN - 9781424441341

T3 - Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

BT - Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

T2 - 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

Y2 - 17 October 2009 through 19 October 2009

ER -

A new method for remote protein classification

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