CASIA OpenIR  > 09年以前成果
Systematic benchmarking of microarray data feature extraction and classification
Zrang, Jing; Jiang, Tianzi; Liu, Bing; Jiang, Xingpeng; Zhao, Huizhi
Source PublicationINTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS
2008-05-01
Volume85Issue:5Pages:803-811
SubtypeArticle
AbstractA combination of microarrays with classification methods is a promising approach to supporting clinical management decisions in oncology. The aim of this paper is to systematically benchmark the role of classification models. Each classification model is a combination of one feature extraction method and one classification method. We consider four feature extraction methods and five classification methods, from which 20 classification models can be derived. The feature extraction methods are t-statistics, non-parametric Wilcoxon statistics, ad hoc signal-to-noise statistics, and principal component analysis (PCA), and the classification methods are Fisher linear discriminant analysis (FLDA), the support vector machine (SVM), the k nearest-neighbour classifier (kNN), diagonal linear discriminant analysis (DLDA), and diagonal quadratic discriminant analysis (DQDA). Twenty randomizations of each of three binary cancer classification problems derived from publicly available datasets are examined. PCA plus FLDA is found to be the optimal classification model.
KeywordPca T-statistics Flda Nearest-neighbour Classifier Leave-one-out Cross-validation
WOS HeadingsScience & Technology ; Physical Sciences
WOS KeywordDIFFERENTIALLY EXPRESSED GENES ; CANCER ; LDA
Indexed BySCI
Language英语
WOS Research AreaMathematics
WOS SubjectMathematics, Applied
WOS IDWOS:000255869700009
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9694
Collection09年以前成果
AffiliationChinese Acad Sci, LIAMA, Sino French Lab Comp Sci Automat & Appl Math, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Zrang, Jing,Jiang, Tianzi,Liu, Bing,et al. Systematic benchmarking of microarray data feature extraction and classification[J]. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS,2008,85(5):803-811.
APA Zrang, Jing,Jiang, Tianzi,Liu, Bing,Jiang, Xingpeng,&Zhao, Huizhi.(2008).Systematic benchmarking of microarray data feature extraction and classification.INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS,85(5),803-811.
MLA Zrang, Jing,et al."Systematic benchmarking of microarray data feature extraction and classification".INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS 85.5(2008):803-811.
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