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Author Gilbert, Richard J. ♦ Johnson, Helen E. ♦ Winson, Michæl K. ♦ Rowl, Jem J. ♦ Goodacre, Royston ♦ Smith, Aileen R. ♦ Hall, Michæl A. ♦ Kell, Douglas B.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Visual Analysis ♦ Gp-derived Model ♦ Gp Model ♦ Readily-interpretable Form ♦ Tomato Fruit ♦ Analytical Tool ♦ Low-salt Condition ♦ Salt Tolerance ♦ Genetic Programming ♦ Advanced Analytical Instrument ♦ Novel Tool ♦ Chemical Interpretation ♦ Novel Analytical Tool ♦ Metabolome Data ♦ Growth Environment ♦ Complex Biological System ♦ Tomato Plant ♦ Small Number ♦ Whole-tissue Level ♦ Explanatory Power ♦ Biochemical Feature ♦ Biochemical Difference ♦ Spectral Region ♦ Fourier-transform Infrared Spectroscopy ♦ Spectral Characteristic ♦ Conventional Data ♦ Functional Group ♦ Ftir Spectrum ♦ Supervised Machine Learning
Description 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 are not amenable to direct visual analysis, so supervised machine learning was used to generate models capable of classifying the samples based on their spectral characteristics. The genetic programming (GP) method was chosen, since it has previously been shown to perform with the same accuracy as conventional data modelling methods, but in a readily-interpretable form. Examination of the GP-derived models showed that there was 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 which, in this study, improves our understanding of the biochemistry of salt tolerance in tomato plants.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 1999-01-01
Publisher Institution Eds), Latebreaking papers of EuroGP-99, Software Engineering. CWI