Fig. 1

Overview of the study. a The input data for this study consist of gene expression, mutational signature counts, and gene alteration across a number of cancer patients. b The functional pathways whose gene expression levels are associated with mutational signatures were found by computing correlations between expression levels of all genes and signature mutation counts, filtering out weak correlations, clustering expression correlation profiles, and performing GO enrichment analysis of the identified clusters. c The pathways whose gene alterations are associated with mutational signatures were found by applying NETPHIX to the transformed signature mutation counts (z-score of log-transformed counts), gene-patient alteration matrix, and a known functional interaction network