CurveSOM is a new clustering algorithm of curve-based custering of time course expression data . It first present each gene by a cubic smoothing spline that is fitted to its time course expression data and then group genes into clusters by applying a self-organizing map-based clustering on the resulting splines. CurveSOM is a very promising tool for the exploratory analysis of time course expression data, as it is not only able to group genes into clusters with high accuracy but also able to find true time-shifted correlations of expression patterns between clusters.
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Curve-based clustering of time course gene expression data using self-organizing maps.
Journal of Bioinformatics and Computational Biology, vol. 7, no. 4, 645-661, 2009..