Skip to main content
. 2018 Oct 19;9:4353. doi: 10.1038/s41467-018-06867-x

Fig. 1.

Fig. 1

Overview of the analyses. Starting from the mutation data, we perform two types of analysis. Supervised learning of the Bayesian network structure for each known cancer type, allowing us to uncover mutational interactions and visualise pancancer heterogeneity. Unsupervised clustering of the mutation data into components with common interactions to uncover a novel stratification of the patient samples