Fig. 2: MB segregate into six proteome subtypes.

A Proportion of ambiguous clustering (PAC) scores for k = 2–12 in consensus clustering of the main cohort, using different cluster algorithms (nMB = 167, based on ≥30% valid values). B Optimal clustering of proteome data. Consensus scores are shown in color scale from white (samples never cluster together) to blue (samples always cluster together). Six proteome subtypes, pWNT, pSHHt, pSHHs, pG3myc, pG3 and pG4, were defined. C Visualization of the first three principal components. D Clinical sample information. E Log-rank (Mantel-Cox) test comparing the survival curves of proteome subtypes (p value < 0.001, overall χ2-square test). F Group specific mean log 2 protein intensity of protein subtype marker candidate proteins. n represents biologically independent human samples.