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Fig. 6 | Journal of Translational Medicine

Fig. 6

From: A machine learning framework develops a DNA replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancer

Fig. 6

The 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 values

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