Identification of rare cancer driver mutations by network reconstruction

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Figure 2.
Figure 2.

Module overlap heatmap. Breast cancer, colorectal cancer, and glioblastoma modules were subject to two-way clustering based upon their degree of overlap according to the hypergeometric distribution. (A) Colon modules are depicted on the vertical axis and breast modules are depicted on the horizontal axis. (B) Breast modules are depicted on the vertical axis and glioblastoma modules are depicted on the horizontal axis. (C) Glioblastoma modules are depicted on the vertical axis and colon modules are depicted on the horizontal axis. Modules of interest are labeled as B (breast), C (colon), or G (glioblastoma), followed by the module number. Coloration depicts the degree of overlap, where green indicates no overlap and red indicates the greatest degree of overlap for each module pair. Distinct clusters of overlapping modules can be observed. Note the close clustering of B26/B27 and B16/B33 in A and B. Note the significant overlap of B16/B33 with C6 in A.

This Article

  1. Genome Res. 19: 1570-1578

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