Fig. 6From: A machine learning framework develops a DNA replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancerThe associations of clinicopathologic and biological features with the replication stress signature. The upper panel of the heatmap showed the distribution of clinical characteristics between RSS-high and RSS-low patients. The lower panel demonstrated z-scores of single sample gene set enrichment analysis. The different colors of right-sided text annotation indicate the relative enrichment of pathways in the corresponding groups. The annotations on the left side indicate statistical P valuesBack to article page