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Volumn , Issue , 2004, Pages 654-655

Finding cancer biomarkers from mass spectrometry data by decision lists

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; GENETIC ALGORITHMS; MASS SPECTROMETRY; MAXIMUM LIKELIHOOD ESTIMATION; MEDICAL IMAGING; PROTEINS; SENSITIVITY ANALYSIS; THEOREM PROVING; TUMORS;

EID: 14044279252     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (4)
  • 1
    • 1442267080 scopus 로고
    • Learning decision lists
    • R. L. Rivest. Learning decision lists. Machine Learning, V2:229-246, 1987.
    • (1987) Machine Learning , vol.2 , pp. 229-246
    • Rivest, R.L.1
  • 2
    • 14044261452 scopus 로고    scopus 로고
    • Use of proteomic patterns in serum to identify ovirian cancer
    • E. F. Petricoin, A. M. Ardekani, and et al. Use of proteomic patterns in serum to identify ovirian cancer. Lacent, V62:3609-3614, 2002.
    • (2002) Lacent , vol.62 , pp. 3609-3614
    • Petricoin, E.F.1    Ardekani, A.M.2
  • 3
    • 0038160051 scopus 로고    scopus 로고
    • Cancer diagnosis using proteomic patterns
    • T. P. Conrads, M. Zhou, and et al. Cancer diagnosis using proteomic patterns. Expert Rev. Mol. Diagn, V3(4):411-420, 2003.
    • (2003) Expert Rev. Mol. Diagn , vol.3 , Issue.4 , pp. 411-420
    • Conrads, T.P.1    Zhou, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.