Background: Gene expression data is available on several organisms of interest in publicly available data-bases and knowledge on gene functions can be extracted from gene expression profiles by pattern comparison between genes when analyzed with multivariate techniques. Nevertheless, gene expression data is very noisy and those patterns are often difficult to detect with classical multivariate analysis. Keywords: Microarray time course data, plant pathogen, multivariate techniques, clustering, gene filtering.