Effective cancer classification based on gene expression data using multidimensional mutual information and ELM

Qun Xiong Zhu; Yuan Fan; Yan Lin He; Yuan Xu

doi:10.1109/DDCLS.2018.8515927

Effective cancer classification based on gene expression data using multidimensional mutual information and ELM

Qun Xiong Zhu
, Yuan Fan
, Yan Lin He
, Yuan Xu

Beijing University of Chemical Technology
Ministry of Education of China

研究成果: Conference contribution › 同行評審

3 引文斯高帕斯（Scopus）

摘要

In the field of microarray data research, it is quite challenging to make classification due to small sample size and the high dimension of data. Moreover, the feature selection is crucial. In this paper, we propose multidimensional mutual information (MMI) feature selection method to select the most informative features for classification. After feature selection using the proposed MMI, Extreme Learning Machine (ELM) is used as an efficient classifier. So as to evaluate the performance of the proposed methodology, a typical dataset called Leukemia is selected to carry out a case study. Simulation results demonstrate the effectiveness of the proposed method.

原文	English
主出版物標題	Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	954-958
頁數	5
ISBN（電子）	9781538626184
DOIs	https://doi.org/10.1109/DDCLS.2018.8515927
出版狀態	Published - 30 10月 2018
對外發佈	是
事件	7th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2018 - Enshi, Hubei Province, China 持續時間: 25 5月 2018 → 27 5月 2018

出版系列

名字	Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018

Conference

Conference	7th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2018
國家/地區	China
城市	Enshi, Hubei Province
期間	25/05/18 → 27/05/18

UN SDG

此研究成果有助於以下永續發展目標

Good health and well being

存取文件

10.1109/DDCLS.2018.8515927

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Link to publication in Scopus

引用此

Zhu, Q. X., Fan, Y., He, Y. L., & Xu, Y. (2018). Effective cancer classification based on gene expression data using multidimensional mutual information and ELM. 於 Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018 (頁 954-958). 文章 8515927 (Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DDCLS.2018.8515927

Zhu, Qun Xiong ; Fan, Yuan ; He, Yan Lin 等. / Effective cancer classification based on gene expression data using multidimensional mutual information and ELM. Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 頁 954-958 (Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018).

@inproceedings{2ddcc5844b7b499cb0668366fed4a6ff,

title = "Effective cancer classification based on gene expression data using multidimensional mutual information and ELM",

abstract = "In the field of microarray data research, it is quite challenging to make classification due to small sample size and the high dimension of data. Moreover, the feature selection is crucial. In this paper, we propose multidimensional mutual information (MMI) feature selection method to select the most informative features for classification. After feature selection using the proposed MMI, Extreme Learning Machine (ELM) is used as an efficient classifier. So as to evaluate the performance of the proposed methodology, a typical dataset called Leukemia is selected to carry out a case study. Simulation results demonstrate the effectiveness of the proposed method.",

keywords = "Gene expression data, classification, extreme machine learning, feature selection, information gain",

author = "Zhu, \{Qun Xiong\} and Yuan Fan and He, \{Yan Lin\} and Yuan Xu",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 7th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2018 ; Conference date: 25-05-2018 Through 27-05-2018",

year = "2018",

month = oct,

day = "30",

doi = "10.1109/DDCLS.2018.8515927",

language = "English",

series = "Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018",

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

pages = "954--958",

booktitle = "Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018",

address = "United States",

}

Zhu, QX, Fan, Y, He, YL & Xu, Y 2018, Effective cancer classification based on gene expression data using multidimensional mutual information and ELM. 於 Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018., 8515927, Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018, Institute of Electrical and Electronics Engineers Inc., 頁 954-958, 7th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2018, Enshi, Hubei Province, China, 25/05/18. https://doi.org/10.1109/DDCLS.2018.8515927

Effective cancer classification based on gene expression data using multidimensional mutual information and ELM. / Zhu, Qun Xiong; Fan, Yuan; He, Yan Lin 等.
Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 954-958 8515927 (Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018).

研究成果: Conference contribution › 同行評審

TY - GEN

T1 - Effective cancer classification based on gene expression data using multidimensional mutual information and ELM

AU - Zhu, Qun Xiong

AU - Fan, Yuan

AU - He, Yan Lin

AU - Xu, Yuan

PY - 2018/10/30

Y1 - 2018/10/30

N2 - In the field of microarray data research, it is quite challenging to make classification due to small sample size and the high dimension of data. Moreover, the feature selection is crucial. In this paper, we propose multidimensional mutual information (MMI) feature selection method to select the most informative features for classification. After feature selection using the proposed MMI, Extreme Learning Machine (ELM) is used as an efficient classifier. So as to evaluate the performance of the proposed methodology, a typical dataset called Leukemia is selected to carry out a case study. Simulation results demonstrate the effectiveness of the proposed method.

AB - In the field of microarray data research, it is quite challenging to make classification due to small sample size and the high dimension of data. Moreover, the feature selection is crucial. In this paper, we propose multidimensional mutual information (MMI) feature selection method to select the most informative features for classification. After feature selection using the proposed MMI, Extreme Learning Machine (ELM) is used as an efficient classifier. So as to evaluate the performance of the proposed methodology, a typical dataset called Leukemia is selected to carry out a case study. Simulation results demonstrate the effectiveness of the proposed method.

KW - Gene expression data

KW - classification

KW - extreme machine learning

KW - feature selection

KW - information gain

UR - https://www.scopus.com/pages/publications/85057011564

U2 - 10.1109/DDCLS.2018.8515927

DO - 10.1109/DDCLS.2018.8515927

M3 - Conference contribution

AN - SCOPUS:85057011564

T3 - Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018

SP - 954

EP - 958

BT - Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2018

Y2 - 25 May 2018 through 27 May 2018

ER -

Zhu QX, Fan Y, He YL, Xu Y. Effective cancer classification based on gene expression data using multidimensional mutual information and ELM. 於 Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 954-958. 8515927. (Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018). doi: 10.1109/DDCLS.2018.8515927

Effective cancer classification based on gene expression data using multidimensional mutual information and ELM

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