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Volumn 1, Issue , 2005, Pages 191-200

SVM-RFE peak selection for cancer classification with mass spectrometry data

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; CLASSIFICATION (OF INFORMATION); DISEASES; MASS SPECTROMETRY; SET THEORY;

EID: 45749090298     PISSN: 17516404     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1142/9781860947322_0019     Document Type: Conference Paper
Times cited : (19)

References (14)
  • 4
    • 0036324715 scopus 로고    scopus 로고
    • Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer
    • J. Li, Z. Zhang, J. Rosenzweig, Y.Y. Wang, and D.W. Chan. Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer. Clin Chem, 48:1296-1304, 2002. (Pubitemid 34809839)
    • (2002) Clinical Chemistry , vol.48 , Issue.8 , pp. 1296-1304
    • Li, J.1    Zhang, Z.2    Rosenzweig, J.3    Wang, Y.Y.4    Chan, D.W.5
  • 5
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • PII S000437029700043X
    • Ron Kohavi and George H. John. Wrappers for feature subset selection. Artificial Intelligence, 97(1-2):273-324, 1997. (Pubitemid 127401107)
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 6
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • PII S0004370297000635
    • A. Blum and P. Langley. Selection of relevant features and examples in machine learning. Artificial Intelligence, 97(1-2):245-271, 1997. (Pubitemid 127401106)
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 245-271
    • Blum, A.L.1    Langley, P.2
  • 7
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • DOI 10.1023/A:1012487302797
    • I. Guyon, J. Weston, S. Barnhill, and V. Vapnik. Gene selection for cancer classification using support vector machines. Machine Learning, 46(1-3):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
  • 12
    • 0141631754 scopus 로고    scopus 로고
    • Protocols for disease classification from mass spectrometry data
    • DOI 10.1002/pmic.200300519
    • M. Wagner, D. Nail, and A. Pothen. Protocols for disease classification from mass spectrometry data. Proteomics, 3:1692-1698, 2003. (Pubitemid 37129814)
    • (2003) Proteomics , vol.3 , Issue.9 , pp. 1692-1698
    • Wagner, M.1    Naik, D.2    Pothen, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.