Detecting recurrent gene mutation in interaction network context using multi-scale graph diffusion

We introduce a multi-scale kernel diffusion framework and apply it to a large collection of murine retroviral insertional mutagenesis data. The diffusion strength plays the role of scale parameter. As a result, in addition to detecting genes with frequent mutations in their genomic vicinity (red nodes in the interaction graph) we can also find...

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