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Patient-specific driver gene prediction and risk assessment through integrated network analysis of cancer omics profiles
Extensive and multi-dimensional data sets generated from recent cancer omics profiling projects have presented new challenges and opportunities for unraveling the complexity of cancer genome landscapes. In particular, distinguishing the unique complement of genes that drive tumorigenesis in each pat...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4402507/ https://www.ncbi.nlm.nih.gov/pubmed/25572314 http://dx.doi.org/10.1093/nar/gku1393 |