A combinational feature selection and ensemble neural network method for classification of gene expression data | |
Liu, B; Cui, QH; Jiang, TZ; Ma, SD | |
发表期刊 | BMC BIOINFORMATICS |
2004-09-27 | |
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 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/7976 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
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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