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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...
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| Pubblicato in: | Genome Biol |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7033911/ https://ncbi.nlm.nih.gov/pubmed/32079540 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-01954-z |
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