<p><b>Copyright information:</b></p><p>Taken from "A transversal approach to predict gene product networks from ontology-based similarity"</p><p>http://www.biomedcentral.com/1471-2105/8/235</p><p>BMC Bioinformatics 2007;8():235-235.</p><p>Published online 2 Jul 2007</p><p>PMCID:PMC1940024.</p><p></p>se selected terms, term vectors are obtained for each gene products through the application of the idf weighting scheme, c) The comparison of these vectors in a Vector Space Model results in a matrix of similarity, d) Standard expression clustering based methods result in the attribution of each gene products to an expression cluster (up-regulated cluster, down-regulated cluster and invariant cluster i.e. constant expression cluster), e) Based on higher pairwise similarity, the matrix of similarity is displayed as a biological network where the gene expression clustering corresponds to the shape and color of each node. Up-regulated and Down-regulated genes are represented respectively as red hexagons and green boxes
