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Volumn 29, Issue 1-2, 2002, Pages 237-241

Metabolomics and machine learning: Explanatory analysis of complex metabolome data using genetic programming to produce simple, robust rules

Author keywords

[No Author keywords available]

Indexed keywords

SALICYLIC ACID;

EID: 0036042222     PISSN: 03014851     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1020342216314     Document Type: Article
Times cited : (56)

References (63)
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    • Genomic biology
    • (2000) Cell , vol.100 , pp. 169-183
    • Brent, R.1
  • 7
    • 0034160040 scopus 로고    scopus 로고
    • On the optimization of classes for the assignment of unidentified reading frames in functional genomics programmes: The need for machine learning
    • (2000) Trends Biotechnol. , vol.18 , pp. 93-98
    • Kell, D.B.1    King, R.D.2
  • 28
    • 0032694577 scopus 로고    scopus 로고
    • 'Metabonomics': Understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data
    • (1999) Xenobiotica , vol.29 , pp. 1181-1189
    • Nicholson, J.K.1    Lindon, J.C.2    Holmes, E.3
  • 40
    • 0032485905 scopus 로고    scopus 로고
    • Increasing the flux in metabolic pathways: A metabolic control analysis perspective
    • (1998) Biotechnol. Bioeng. , vol.58 , pp. 121-124
    • Fell, D.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.