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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4727329/ https://www.ncbi.nlm.nih.gov/pubmed/26810975 http://dx.doi.org/10.1186/s12918-016-0255-6 |