A procedure for the clustering of cell wall mutants in the model plant arabidopsis based on fourier-transform infrared (FT-IR) spectroscopy
2003
Robin, Stephane | Lecomte, Mannaïg | Höfte, Herman | Mouille, Gregory | Mathématiques et Informatique Appliquées (MIA-Paris) ; Institut National de la Recherche Agronomique (INRA)-AgroParisTech | Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] (ENSAI) ; Groupe des Écoles Nationales d'Économie et Statistique (GENES) | UR 0501 Laboratoire de Biologie Cellulaire ; Institut National de la Recherche Agronomique (INRA)-Biologie végétale (B.V.)-Laboratoire de Biologie Cellulaire (LBC)
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.
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