Figure 1

Schematic overview of the integrative iMCMC method. (A) Illustration of the construction of two networks with weighted vertices and weighted edges. Firstly, a mutation matrix can be obtained by combining the somatic mutations and CNVs, and an expression matrix is obtained from the gene expression profiles. Then, the weighted mutation network and expression network are constructed from these two matrices. (B) These two networks are combined to get an integrative network $\mathcal{M}$, for which an optimization model is used to identify the most coherent subnetworks. Finally, we obtained the core modules for tumors by filtering with significance and exclusivity tests, for which two p-values p₁ and p₂ are calculated, respectively.