A procedure for the clustering of cell wall mutants in the model plant Arabidopsis based on Fourier-transform infrared (FT-IR) spectroscopy

S. Robin, M. Lecomte, H. Hofte and G. Mouille

Journal of Applied Statistics, 2003, vol. 30, issue 6, 669-681

Abstract: FT-IR microspectroscopy can be used to study the global composition and architecture of plant cell walls and it allows cell wall mutants to be identified. Our aim is to define a distance between cell wall mutants in the model species Arabidopsis based on FT-IR spectra. Since the number of data points that constitute a spectrum exceeds the number of samples analysed, it is essential to reduce first the dimension of the dataset. We present a comparison of several compression methods, including linear discriminant analysis using a non-canonical covariance matrix. The calculated distances were used to define clusters of mutants that appeared to be biologically meaningful.

Date: 2003
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DOI: 10.1080/0266476032000053745

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