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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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| Publicado no: | Nat Commun |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4942583/ https://ncbi.nlm.nih.gov/pubmed/27396759 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ncomms12159 |
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