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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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| Gepubliceerd in: | BMC Syst Biol |
|---|---|
| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2016
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| Onderwerpen: | |
| Online toegang: | 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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