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An ensemble of SVM classifiers based on gene pairs
Tong, Muchenxuan1; Liu, Kun-Hong2; Xu, Chungui3; Ju, Wenbin4
关键词Microarray Data Top Scoring Pair (Tsp) Ensemble Learning Genetic Algorithm (Ga) Support Vector Machine (Svm)
刊名COMPUTERS IN BIOLOGY AND MEDICINE
2013-07-01
DOI10.1016/j.compbiomed.2013.03.010
43期:6页:729-737
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Biology ; Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Mathematical & Computational Biology
资助者National Science Foundation of China ; Natural Science Foundation of Fujian Province of China ; Fundamental Research Funds for the Central Universities ; National Science Foundation of China ; Natural Science Foundation of Fujian Province of China ; Fundamental Research Funds for the Central Universities
研究领域[WOS]Life Sciences & Biomedicine - Other Topics ; Computer Science ; Engineering ; Mathematical & Computational Biology
关键词[WOS]INDEPENDENT COMPONENT ANALYSIS ; FEATURE-SELECTION ; MICROARRAY DATA ; PROSTATE-CANCER ; MOLECULAR CLASSIFICATION ; EXPRESSION SIGNATURES ; OUTCOME PREDICTION ; TUMOR ; ADENOCARCINOMA ; CARCINOMAS
英文摘要

In this paper, a genetic algorithm (GA) based ensemble support vector machine (SVM) classifier built on gene pairs (GA-ESP) is proposed. The SVMs (base classifiers of the ensemble system) are trained on different informative gene pairs. These gene pairs are selected by the top scoring pair (TSP) criterion. Each of these pairs projects the original microarray expression onto a 2-D space. Extensive permutation of gene pairs may reveal more useful information and potentially lead to an ensemble classifier with satisfactory accuracy and interpretability. GA is further applied to select an optimized combination of base classifiers. The effectiveness of the GA-ESP classifier is evaluated on both binary-class and multi-class datasets. (C) 2013 Elsevier Ltd. All rights reserved.

语种英语
所属项目编号61100106 ; 2010J05137 ; 2010121038
资助者National Science Foundation of China ; Natural Science Foundation of Fujian Province of China ; Fundamental Research Funds for the Central Universities ; National Science Foundation of China ; Natural Science Foundation of Fujian Province of China ; Fundamental Research Funds for the Central Universities
WOS记录号WOS:000320838000012
引用统计
被引频次:18[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/52238
专题北京大学第二临床医学院
作者单位1.Xiamen Univ, Dept Elect Engn, Xiamen 361005, Fujian, Peoples R China
2.Xiamen Univ, Sch Software, Xiamen 361005, Fujian, Peoples R China
3.Peking Univ, Peoples Hosp, Dept Trauma Orthopaed, Beijing 100871, Peoples R China
4.Dalian Med Univ, Affiliated Hosp 2, Dept Urol, Dalian, Peoples R China
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Tong, Muchenxuan,Liu, Kun-Hong,Xu, Chungui,et al. An ensemble of SVM classifiers based on gene pairs[J]. COMPUTERS IN BIOLOGY AND MEDICINE,2013,43(6):729-737.
APA Tong, Muchenxuan,Liu, Kun-Hong,Xu, Chungui,&Ju, Wenbin.(2013).An ensemble of SVM classifiers based on gene pairs.COMPUTERS IN BIOLOGY AND MEDICINE,43(6),729-737.
MLA Tong, Muchenxuan,et al."An ensemble of SVM classifiers based on gene pairs".COMPUTERS IN BIOLOGY AND MEDICINE 43.6(2013):729-737.
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