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...
| Main Authors: | , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Nature Publishing Group
2016
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942583/ |