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

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

Babaei, S. (TU Delft Pattern Recognition and Bioinformatics; Netherlands Bioinformatics Centre, Nijmegen)
Hulsman, M. (TU Delft Pattern Recognition and Bioinformatics)
Reinders, M.J.T. (TU Delft Pattern Recognition and Bioinformatics; Netherlands Bioinformatics Centre, Nijmegen)
de Ridder, J. (TU Delft Pattern Recognition and Bioinformatics; Netherlands Bioinformatics Centre, Nijmegen)

2012

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 genes that harbor frequent mutations in their interaction network context (white and pink nodes).

http://resolver.tudelft.nl/uuid:63d26c61-25e6-4d3b-ba4b-66322077ee75

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© 2012 S. Babaei, M. Hulsman, M.J.T. Reinders, J. de Ridder