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Comprehensive assessment of computational algorithms in predicting cancer driver mutations
BACKGROUND: The initiation and subsequent evolution of cancer are largely driven by a relatively small number of somatic mutations with critical functional impacts, so-called driver mutations. Identifying driver mutations in a patient’s tumor cells is a central task in the era of precision cancer me...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033911/ https://www.ncbi.nlm.nih.gov/pubmed/32079540 http://dx.doi.org/10.1186/s13059-020-01954-z |