Gene selection of multiple cancer types via huberized multi-class support vector machine

Juntao Li; Yingmin Jia; Junping Du; Fashan Yu

doi:10.1109/CDC.2009.5399833

Gene selection of multiple cancer types via huberized multi-class support vector machine

Juntao Li^*
, Yingmin Jia
, Junping Du
, Fashan Yu

^*此作品的通讯作者

自动化科学与电气工程学院

Beihang University
Beijing University of Posts and Telecommunications
Henan Polytechnic University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

This paper proposes a new type of regularization in the context of multi-class support vector machine for simultaneous classification and gene selection. By combining the huberized hinge loss function and the elastic net penalty, the proposed support vector machine can do automatic gene selection and further encourage a grouping effect in the process of building classifiers, thus leading a sparse multi-classifiers with enhanced interpretability. Furthermore, a reasonable correlation between the two regularization parameters is proposed and an efficient solution path algorithm is developed. Experiments of microarray classification are performed on the leukaemia data set to verify the obtained results.

源语言	英语
主期刊名	Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
出版商	Institute of Electrical and Electronics Engineers Inc.
页	1520-1525
页数	6
ISBN（印刷版）	9781424438716
DOI	https://doi.org/10.1109/CDC.2009.5399833
出版状态	已出版 - 2009
活动	48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 - Shanghai, 中国期限: 15 12月 2009 → 18 12月 2009

出版系列

姓名	Proceedings of the IEEE Conference on Decision and Control
ISSN（印刷版）	0743-1546
ISSN（电子版）	2576-2370

会议

会议	48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
国家/地区	中国
市	Shanghai
时期	15/12/09 → 18/12/09

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

访问文件

10.1109/CDC.2009.5399833

其它文件与链接

链接到 Scopus 的出版物

引用此

Li, J., Jia, Y., Du, J., & Yu, F. (2009). Gene selection of multiple cancer types via huberized multi-class support vector machine. 在 Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 (页码 1520-1525). 文章 5399833 (Proceedings of the IEEE Conference on Decision and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2009.5399833

Li, Juntao ; Jia, Yingmin ; Du, Junping 等. / Gene selection of multiple cancer types via huberized multi-class support vector machine. Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009. Institute of Electrical and Electronics Engineers Inc., 2009. 页码 1520-1525 (Proceedings of the IEEE Conference on Decision and Control).

@inproceedings{ddc05e7476f3494cb9d36d66673099f4,

title = "Gene selection of multiple cancer types via huberized multi-class support vector machine",

abstract = "This paper proposes a new type of regularization in the context of multi-class support vector machine for simultaneous classification and gene selection. By combining the huberized hinge loss function and the elastic net penalty, the proposed support vector machine can do automatic gene selection and further encourage a grouping effect in the process of building classifiers, thus leading a sparse multi-classifiers with enhanced interpretability. Furthermore, a reasonable correlation between the two regularization parameters is proposed and an efficient solution path algorithm is developed. Experiments of microarray classification are performed on the leukaemia data set to verify the obtained results.",

keywords = "Gene selection, Grouping effect, Microarray classification, Solution path, Support vector machine (SVM)",

author = "Juntao Li and Yingmin Jia and Junping Du and Fashan Yu",

year = "2009",

doi = "10.1109/CDC.2009.5399833",

language = "英语",

isbn = "9781424438716",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1520--1525",

booktitle = "Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009",

address = "美国",

note = "48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 ; Conference date: 15-12-2009 Through 18-12-2009",

}

Li, J, Jia, Y, Du, J & Yu, F 2009, Gene selection of multiple cancer types via huberized multi-class support vector machine. 在 Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009., 5399833, Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., 页码 1520-1525, 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009, Shanghai, 中国, 15/12/09. https://doi.org/10.1109/CDC.2009.5399833

Gene selection of multiple cancer types via huberized multi-class support vector machine. / Li, Juntao; Jia, Yingmin; Du, Junping 等.
Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009. Institute of Electrical and Electronics Engineers Inc., 2009. 页码 1520-1525 5399833 (Proceedings of the IEEE Conference on Decision and Control).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Gene selection of multiple cancer types via huberized multi-class support vector machine

AU - Li, Juntao

AU - Jia, Yingmin

AU - Du, Junping

AU - Yu, Fashan

PY - 2009

Y1 - 2009

N2 - This paper proposes a new type of regularization in the context of multi-class support vector machine for simultaneous classification and gene selection. By combining the huberized hinge loss function and the elastic net penalty, the proposed support vector machine can do automatic gene selection and further encourage a grouping effect in the process of building classifiers, thus leading a sparse multi-classifiers with enhanced interpretability. Furthermore, a reasonable correlation between the two regularization parameters is proposed and an efficient solution path algorithm is developed. Experiments of microarray classification are performed on the leukaemia data set to verify the obtained results.

AB - This paper proposes a new type of regularization in the context of multi-class support vector machine for simultaneous classification and gene selection. By combining the huberized hinge loss function and the elastic net penalty, the proposed support vector machine can do automatic gene selection and further encourage a grouping effect in the process of building classifiers, thus leading a sparse multi-classifiers with enhanced interpretability. Furthermore, a reasonable correlation between the two regularization parameters is proposed and an efficient solution path algorithm is developed. Experiments of microarray classification are performed on the leukaemia data set to verify the obtained results.

KW - Gene selection

KW - Grouping effect

KW - Microarray classification

KW - Solution path

KW - Support vector machine (SVM)

UR - https://www.scopus.com/pages/publications/77950798289

U2 - 10.1109/CDC.2009.5399833

DO - 10.1109/CDC.2009.5399833

M3 - 会议稿件

AN - SCOPUS:77950798289

SN - 9781424438716

T3 - Proceedings of the IEEE Conference on Decision and Control

SP - 1520

EP - 1525

BT - Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009

Y2 - 15 December 2009 through 18 December 2009

ER -

Li J, Jia Y, Du J, Yu F. Gene selection of multiple cancer types via huberized multi-class support vector machine. 在 Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009. Institute of Electrical and Electronics Engineers Inc. 2009. 页码 1520-1525. 5399833. (Proceedings of the IEEE Conference on Decision and Control). doi: 10.1109/CDC.2009.5399833

Gene selection of multiple cancer types via huberized multi-class support vector machine

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此