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Integrating mutation and gene expression cross-sectional data to infer cancer progression
BACKGROUND: A major problem in identifying the best therapeutic targets for cancer is the molecular heterogeneity of the disease. Cancer is often caused by an accumulation of mutations which produce irreversible damage to the cell’s control mechanisms of survival and proliferation. Different mutatio...
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| Publicado no: | BMC Syst Biol |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4727329/ https://ncbi.nlm.nih.gov/pubmed/26810975 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12918-016-0255-6 |
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