Supplementary Tables S1 to S14 from Gene Expression Integration into Pathway Modules Reveals a Pan-Cancer Metabolic Landscape

Table S1: Cancer types. Table S2: Cell lines. Table S3: Metabolic modules. Table S4: Correlations between gene expression and RPPA values. Table S5: Correlation between the non-metabolic proteins and their corresponding gene expressions. Table S6: Fold changes of metabolites from metabolomics data and predicted module activities. Table S7: Subtype analysis. Table S8: Impact of mutations. Table S9: Modules whose activity is significantly associated to patient survival. Table S10: Combinations of module activities significantly related to patient survival. Table S11: Modules showing the strongest association with survival than any of their gene components. Table S12: Modules associated to different responses. Table S13: Validation of the effect of real Knock-Downs in genes. Table S14: Collection of drugs listed in drugbank with known targets within any of the modules used in this work.