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Fast randomization of large genomic datasets while preserving alteration counts
Motivation: Studying combinatorial patterns in cancer genomic datasets has recently emerged as a tool for identifying novel cancer driver networks. Approaches have been devised to quantify, for example, the tendency of a set of genes to be mutated in a ‘mutually exclusive’ manner. The significance o...
Autores principales: | Gobbi, Andrea, Iorio, Francesco, Dawson, Kevin J., Wedge, David C., Tamborero, David, Alexandrov, Ludmil B., Lopez-Bigas, Nuria, Garnett, Mathew J., Jurman, Giuseppe, Saez-Rodriguez, Julio |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147926/ https://www.ncbi.nlm.nih.gov/pubmed/25161255 http://dx.doi.org/10.1093/bioinformatics/btu474 |
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