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Fig. 3 | BMC Cancer

Fig. 3

From: Exploring the potential of machine learning in gastric cancer: prognostic biomarkers, subtyping, and stratification

Fig. 3

A PCA-based correlation analysis heatmap revealed that the most differentiating variables were highly correlated with mortality at 18 months in the A: non-survivor and B: survivor and 24 months in the C: non-survivor and D: survivor groups. Positive correlations are shown in red, whereas negative correlations are shown in blue. The intensity of the color is related to the correlation coefficient

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