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Volumn , Issue , 2014, Pages 37-38

Prediction of detectable peptides in ms data using genetic programming

Author keywords

[No Author keywords available]

Indexed keywords

BIOMARKERS; CLASSIFICATION (OF INFORMATION); GENETIC ALGORITHMS; MASS SPECTROMETRY; PEPTIDES;

EID: 84905665773     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2598394.2598421     Document Type: Conference Paper
Times cited : (4)

References (5)
  • 1
    • 77954523086 scopus 로고    scopus 로고
    • Options and considerations when selecting a quantitative proteomics strategy
    • DOMON, B., and AEBERSOLD, R. Options and considerations when selecting a quantitative proteomics strategy. Nat Biotechnology 28(2010), 710-721.
    • (2010) Nat Biotechnology , vol.28 , pp. 710-721
    • Domon, B.1    Aebersold, R.2
  • 2
    • 80053074684 scopus 로고    scopus 로고
    • CONSeQuence: Prediction of reference peptides for absolute quantitative proteomics using consensus machine learning approaches
    • EYERS, C. E., LAWLESS, C., WEDGE, D. C., Lau, K. W., GASKELL, S. J., and HUBBARD, S. J. CONSeQuence: prediction of reference peptides for absolute quantitative proteomics using consensus machine learning approaches. Molecular & Cellular Proteomics 10, 11(2011), 3390-3404.
    • (2011) Molecular & Cellular Proteomics , vol.10 , Issue.11 , pp. 3390-3404
    • Eyers, C.E.1    Lawless, C.2    Wedge, D.C.3    Lau, K.W.4    Gaskell, S.J.5    Hubbard, S.J.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.