Figure 5
Graph patient genetic mapping enables richer, more informative phenotyping. Radial graph of nested, degree-corrected and multivariate binomially weighted stochastic block model revealing the community structure of patients and the genetics of their brain tumour. Hierarchical levels are annotated from level 0 (L0) to level 7 (L7). For visualization purposes, communities are colour-coded by the second level blocks (L2) of the hierarchical community structure. Around the radial graph are the breakdown of median survival and box and whisker plots for the coefficients and 95% credible intervals of genetic loadings, where the coloured border of the plots depicts the corresponding community. All box plots where the error-bar does not cross the vertical zero-line are significant, with features left of the vertical zero-line favouring the wildtype, and right of the zero-line favouring mutation. Supplementary Figs 3 and 8–10 accompany this plot with additional results.

Graph patient genetic mapping enables richer, more informative phenotyping. Radial graph of nested, degree-corrected and multivariate binomially weighted stochastic block model revealing the community structure of patients and the genetics of their brain tumour. Hierarchical levels are annotated from level 0 (L0) to level 7 (L7). For visualization purposes, communities are colour-coded by the second level blocks (L2) of the hierarchical community structure. Around the radial graph are the breakdown of median survival and box and whisker plots for the coefficients and 95% credible intervals of genetic loadings, where the coloured border of the plots depicts the corresponding community. All box plots where the error-bar does not cross the vertical zero-line are significant, with features left of the vertical zero-line favouring the wildtype, and right of the zero-line favouring mutation. Supplementary Figs 3 and 8–10 accompany this plot with additional results.

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