Fig. 5

The modules identified by ProgModule were cancer-specific. (A) Applying the cancer-specific model to other cancer type datasets, each pixel represents the number of modules identified in one cancer type that can predict patient prognosis in another cancer type. (B) The number of conserved modules across all cancer types. (C) Heatmap showing the number of overlapping Gene Ontology (GO) terms between cancer types. The color scale represents the number of shared GO terms, with darker colors indicating a higher number of overlaps. (F) The number of overlapped KEGG pathways between two cancer types