Explanatory Analysis of the Metabolome Using Genetic Programming of Simple, Interpretable Rules

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@Article{Johnson:2000:eamGPsir,
  author =       "Helen E. Johnson and Richard J. Gilbert and 
                 Michael K. Winson and Royston Goodacre and Aileen R. Smith and 
                 Jem J. Rowland and Michael A. Hall and Douglas B. Kell",
  title =        "Explanatory Analysis of the Metabolome Using Genetic
                 Programming of Simple, Interpretable Rules",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2000",
  volume =       "1",
  number =       "3",
  pages =        "243--258",
  month =        jul,
  keywords =     "genetic algorithms, genetic programming, metabolome,
                 tomato fruit, salinity, Fourier transform
                 infra-spectroscopy (FTIR), chemometrics",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1023/A:1010014314078",
  abstract =     "Genetic programming, in conjunction with advanced
                 analytical instruments, is a novel tool for the
                 investigation of complex biological systems at the
                 whole-tissue level. In this study, samples from tomato
                 fruit grown hydroponically under both high- and
                 low-salt conditions were analysed using
                 Fourier-transform infrared spectroscopy (FTIR), with
                 the aim of identifying spectral and biochemical
                 features linked to salinity in the growth environment.
                 FTIR spectra of whole tissue extracts are not amenable
                 to direct visual analysis, so numerical modelling
                 methods were used to generate models capable of
                 classifying the samples based on their spectral
                 characteristics. Genetic programming (GP) provided
                 models with a better prediction accuracy to the
                 conventional data modelling methods used, whilst being
                 much easier to interpret in terms of the variables
                 used. Examination of the GP-derived models showed that
                 there were a small number of spectral regions that were
                 consistently being used. In particular, the spectral
                 region containing absorbances potentially due to a
                 cyanide/nitrile functional group was identified as
                 discriminatory. The explanatory power of the GP models
                 enabled a chemical interpretation of the biochemical
                 differences to be proposed. The combination of FTIR and
                 GP is therefore a powerful and novel analytical tool
                 that, in this study, improves our understanding of the
                 biochemistry of salt tolerance in tomato plants.",
  notes =        "Article ID: 264703",
}

Genetic Programming entries for Helen E Johnson Richard J Gilbert Michael K Winson Royston Goodacre Aileen R Smith Jem J Rowland Michael A Hall Douglas B Kell

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