Current microarray technology provides ways to obtain time series expression data for studying a wide range of biological systems. However, the expression data tends to contain considerable noise, which as a result may deteriorate the clustering quality. We propose a webknowledge-based clustering method to incorporate the knowledge of genegene relations into the clustering procedure. Our method...
