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Volumn 6119 LNAI, Issue PART 2, 2010, Pages 55-62

Combining support vector machines and the t-statistic for gene selection in DNA microarray data analysis

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM PERFORMANCE; DNA MICRO-ARRAY; DNA MICROARRAY DATA; FEATURE SELECTION; FEATURE SELECTION PROBLEM; GENE SELECTION; MICROARRAY DATA SETS;

EID: 79956293109     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13672-6_6     Document Type: Conference Paper
Times cited : (3)

References (8)
  • 1
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • DOI 10.1023/A:1012487302797
    • Guyon, I., Weston, J., Barnhill, S., Vapnik, V.: Gene selection for cancer classification using support vector machines. Machine Learning 46, 389-422 (2002) (Pubitemid 34129977)
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 2
    • 0033636139 scopus 로고    scopus 로고
    • Support vector machine classification and validation of cancer tissue samples using microarray expression data
    • Furey, T.S., Cristianini, N., Duffy, N., Bednarski, D.W., Schummer, M., Haussler, D.: Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics 16, 906-914 (2000)
    • (2000) Bioinformatics , vol.16 , pp. 906-914
    • Furey, T.S.1    Cristianini, N.2    Duffy, N.3    Bednarski, D.W.4    Schummer, M.5    Haussler, D.6
  • 3
    • 24144440779 scopus 로고    scopus 로고
    • Gene extraction for cancer diagnosis by support vector machines - An improvement
    • DOI 10.1016/j.artmed.2005.01.006, PII S0933365705000515, Computational Intelligence Techniques in Bioinformatics
    • Huang, T.M., Kecman, V.: Gene extraction for cancer diagnosis by support vector machines - an improvement. Artif. Intell. Med. 35, 185-194 (2005) (Pubitemid 41242721)
    • (2005) Artificial Intelligence in Medicine , vol.35 , Issue.1-2 , pp. 185-194
    • Te, M.H.1    Kecman, V.2
  • 6
    • 0242559063 scopus 로고    scopus 로고
    • Linear regression and two-class classification with gene expression data
    • DOI 10.1093/bioinformatics/btg283
    • Huang, X., Pan, W.: Linear regression and two-class classification with gene expression data. Bioinformatics 19, 2072-2078 (2003) (Pubitemid 37408158)
    • (2003) Bioinformatics , vol.19 , Issue.16 , pp. 2072-2078
    • Huang, X.1    Pan, W.2
  • 7
    • 10444280144 scopus 로고    scopus 로고
    • An extensive comparison of recent classification tools applied to microarray data
    • Lee, J.W., Lee, J.B., Park, M., Song, S.H.: An extensive comparison of recent classification tools applied to microarray data. Computational Statistics and Data Analysis 48, 869-885 (2005)
    • (2005) Computational Statistics and Data Analysis , vol.48 , pp. 869-885
    • Lee, J.W.1    Lee, J.B.2    Park, M.3    Song, S.H.4
  • 8
    • 27544451127 scopus 로고    scopus 로고
    • Simple decision rules for classifying human cancers from gene expression profiles
    • DOI 10.1093/bioinformatics/bti631
    • Tan, A.C., Naiman, D.Q., Xu, L., Winslow, R.L., Geman, D.: Simple decision rules for classifying human cancers from gene expression profiles. Bioinformatics 21, 3896-3904 (2005) (Pubitemid 41535505)
    • (2005) Bioinformatics , vol.21 , Issue.20 , pp. 3896-3904
    • Tan, A.C.1    Naiman, D.Q.2    Xu, L.3    Winslow, R.L.4    Geman, D.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.