Figure 4.

Gene Clustering. Cluster of the 884 genes significant in at least one experimental condition between time points using Audic-Claverie testing (p-value < 10 ^-15) and a fold change of at least 2. The normalized (mean 0, standard deviation 1) RPKM values were calculated separately for standard and delayed healing. We could identify 13 clusters by visual inspection of the heatmap, where blue indicates low and red high expression. For each cluster the normalized relative expression with mean and standard deviation per day and condition were plotted (center) and a maximum of three most significant Gene Ontology terms (right) are shown. The Gene Ontology analysis was performed using the Ontologizer with MGSA (see methods).