Explanatory Analysis of the Metabolome Using Genetic Programming of Simple, Interpretable Rules
Created by W.Langdon from
gp-bibliography.bib Revision:1.4951
- @Article{Johnson:2000:eamGPsir,
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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",
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title = "Explanatory Analysis of the Metabolome Using Genetic
Programming of Simple, Interpretable Rules",
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journal = "Genetic Programming and Evolvable Machines",
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year = "2000",
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volume = "1",
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number = "3",
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pages = "243--258",
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month = jul,
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keywords = "genetic algorithms, genetic programming, metabolome,
tomato fruit, salinity, Fourier transform
infra-spectroscopy (FTIR), chemometrics",
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ISSN = "1389-2576",
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DOI = "
doi:10.1023/A:1010014314078",
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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.",
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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
Citations