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A network-based deep learning methodology for stratification of tumor mutations
MOTIVATION: Tumor stratification has a wide range of biomedical and clinical applications, including diagnosis, prognosis and personalized treatment. However, cancer is always driven by the combination of mutated genes, which are highly heterogeneous across patients. Accurately subdividing the tumor...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8034530/ https://ncbi.nlm.nih.gov/pubmed/33416857 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa1099 |
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