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Identification of significantly mutated regions across cancer types highlights a rich landscape of functional molecular alterations
Cancer sequencing studies have primarily identified cancer-driver genes by the accumulation of protein-altering mutations. An improved method would be annotation-independent, sensitive to unknown distributions of functions within proteins, and inclusive of non-coding drivers. We employed density-bas...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4731297/ https://www.ncbi.nlm.nih.gov/pubmed/26691984 http://dx.doi.org/10.1038/ng.3471 |