3D spatial organization and network-guided comparison of mutation profiles in Glioblastoma reveals similarities across patients
Fig 4
The characteristics of the mutations.
(A) Changes in the chemical properties of the driver protein mutations according to their physical locations (B) Distribution of mutations according to their disease association (EVmutation score) in different locations. The more negative EVmutation score implies the more damaging mutation. (C) Fraction of mutations according to their disease association (PolyPhen-2 status: benign, possibly damaging, probably damaging) in different locations. (D) Fraction of patch mutations and singletons according to their locations.