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MADGiC: a model-based approach for identifying driver genes in cancer
Motivation: Identifying and prioritizing somatic mutations is an important and challenging area of cancer research that can provide new insights into gene function as well as new targets for drug development. Most methods for prioritizing mutations rely primarily on frequency-based criteria, where a...
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| Publicat a: | Bioinformatics |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2015
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4426832/ https://ncbi.nlm.nih.gov/pubmed/25573922 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu858 |
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