Additional file 1.
Figure S1. Results of clustering the expression data with K-means spectral clustering (K = 10) and hierarchical clustering with ward linkage. Shows the expression profiles obtained through these two methods of clustering. It also compares these two clustering methods with K-means clustering (K = 10) which is shown in the paper. For this analysis the average of replicates for each condition was used. Figure S2. Functional class representation in the ten clusters created by K-means clustering. From this figure it can be determined what percentage of genes in each of twenty-six functional classes are present in each cluster. Figure S3. Results of K-means clustering (K = 10) of expression data from all replicates from all six conditions. Shows an Eisen diagram of the expression profiles grouped according to the results of the clustering and a graphical plot of the profiles in each cluster.
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Waite et al. BMC Genomics 2006 7:162 doi:10.1186/1471-2164-7-162