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A combinational feature selection and ensemble neural network method for classification of gene expression data
Liu, B; Cui, QH; Jiang, TZ; Ma, SD
2004-09-27
发表期刊BMC BIOINFORMATICS
卷号5
文章类型Article
摘要Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for a particular disease. To date, this problem has received most attention in the context of cancer research, especially in tumor classification. Various feature selection methods and classifier design strategies also have been generally used and compared. However, most published articles on tumor classification have applied a certain technique to a certain dataset, and recently several researchers compared these techniques based on several public datasets. But, it has been verified that differently selected features reflect different aspects of the dataset and some selected features can obtain better solutions on some certain problems. At the same time, faced with a large amount of microarray data with little knowledge, it is difficult to find the intrinsic characteristics using traditional methods. In this paper, we attempt to introduce a combinational feature selection method in conjunction with ensemble neural networks to generally improve the accuracy and robustness of sample classification.
WOS标题词Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]SINGULAR-VALUE DECOMPOSITION ; MICROARRAY DATA ; CLUSTER-ANALYSIS ; CANCER ; PREDICTION ; PATTERNS ; DISCOVERY ; TUMOR ; LEUKEMIA ; CYCLE
收录类别SCI
语种英语
WOS研究方向Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology
WOS类目Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology
WOS记录号WOS:000224939900001
引用统计
被引频次:70[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/7976
专题脑网络组研究中心
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Liu, B,Cui, QH,Jiang, TZ,et al. A combinational feature selection and ensemble neural network method for classification of gene expression data[J]. BMC BIOINFORMATICS,2004,5.
APA Liu, B,Cui, QH,Jiang, TZ,&Ma, SD.(2004).A combinational feature selection and ensemble neural network method for classification of gene expression data.BMC BIOINFORMATICS,5.
MLA Liu, B,et al."A combinational feature selection and ensemble neural network method for classification of gene expression data".BMC BIOINFORMATICS 5(2004).
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