Fig. 3
From: Unravelling TPX2-centered co-expression networks as key drivers of aggressive prostate cancer
Expression patterns and biological function of differentially expressed genes. (a) Hierarchical clustering of signature genes differentially expressed in the progression from norm to mCRPC. Rows correspond to genes and columns correspond to samples. Sample class was obtained by consensus partitioning methods to separate samples into subclasses. The two gene clusters (cluster1 and cluster2) were generated by applying k-means clustering on rows of the expression matrix. The z-score standardization was applied on matrix rows. (b) Significant GO terms enriched in either of the corresponding gene clusters were grouped based on their similarities. The columns on the left of the GO heatmap indicate the significance levels of GO terms in the individual clusters (Padj < 0.05). The summaries of the biological functions in clusters are visualized as word clouds and are attached to the GO similarity heatmap. In word clouds, enrichment of keywords is assessed by Fisher’s exact test, and the significance is mapped to the font size of keywords.
