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Volumn 13, Issue , 2008, Pages 499-508

SVM-based local search for gene selection and classification of microarray data

Author keywords

Feature selection; Local search; Microarray gene expression; Support vector machines

Indexed keywords

BIOINFORMATICS; BIRDS; FEATURE EXTRACTION; GENE EXPRESSION; LOCAL SEARCH (OPTIMIZATION); SUPPORT VECTOR MACHINES;

EID: 77950817493     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-70600-7_39     Document Type: Article
Times cited : (13)

References (14)
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  • 2
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  • 3
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    • Selection bias in gene extraction on the basis of microarray gene-expression data
    • Ambroise, C., McLachlan, G.J.: Selection bias in gene extraction on the basis of microarray gene-expression data. Proc. Natl. Acad. Sci. USA 99(10), 6562-6566 (2002)
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  • 5
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    • Comparison of discrimination methods for the classification of tumors using gene expression data
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  • 8
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    • A genetic embedded approach for selection and SVM classification of microarray data
    • In: Marchiori, E., Moore, J.H., Rajapakse, J.C. (eds.), LNCS, Springer, Heidelberg
    • Hernandez Hernandez, J.C., Duval, B., Hao, J.K.: A genetic embedded approach for selection and SVM classification of microarray data. In: Marchiori, E., Moore, J.H., Rajapakse, J.C. (eds.) EvoBIO 2007. LNCS, vol. 4447, pp. 90-101. Springer, Heidelberg (2007)
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    • Selection of the most useful subset of genes for gene expressionbased classification
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.