regression model to account for ‘noise’ due to alterations (scatter plots outlined in blue). (PNG) DNA copy Figure S9 Within ovarian tumors, several specific miRNAs tend to be anti-correlated with their predicted gene targets. Left panel shows hierarchical clustering matrix (with pearson correlation coefficient as distance metric,Ward’s Linkage) of correlation coefficients for all miRNA:gene pairs (yellow = positive correlation; blue = negative correlation). The two right panels show the corresponding predicted targeting interaction (both PicTar and TargetScan algorithms) for the miRNAs/genes (same gene ordering). *, significant anti-enrich- ment (P,0.001, Spearman’s rank, one-sided) for predicted targets within miRNA-to-gene correlations. (PNG) Figure S10 For each miRNA in the miRNA:gene corre- lation matrix (from Figure 4), enrichment of predicted target genes within each of the six different gene clusters. 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