RUBIC identifies driver genes by detecting recurrent DNA copy number breaks

The frequent recurrence of copy number aberrations across tumour samples is a reliable hallmark of certain cancer driver genes. However, state-of-the-art algorithms for detecting recurrent aberrations fail to detect several known drivers. In this study, we propose RUBIC, an approach that detects rec...

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Detalles Bibliográficos
Autores principales: van Dyk, Ewald, Hoogstraat, Marlous, ten Hoeve, Jelle, Reinders, Marcel J. T., Wessels, Lodewyk F. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942583/
https://www.ncbi.nlm.nih.gov/pubmed/27396759
http://dx.doi.org/10.1038/ncomms12159

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942583/
https://www.ncbi.nlm.nih.gov/pubmed/27396759
http://dx.doi.org/10.1038/ncomms12159

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