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Combinatorial Detection of Conserved Alteration Patterns for Identifying Cancer Subnetworks
BACKGROUND: Advances in large-scale tumor sequencing have led to an understanding that there are combinations of genomic and transcriptomic alterations specific to tumor types, shared across many patients. Unfortunately, computational identification of functionally meaningful and recurrent alteratio...
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| Publicado no: | Gigascience |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6458499/ https://ncbi.nlm.nih.gov/pubmed/30978274 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/giz024 |
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