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SMuRF: portable and accurate ensemble prediction of somatic mutations
SUMMARY: Somatic Mutation calling method using a Random Forest (SMuRF) integrates predictions and auxiliary features from multiple somatic mutation callers using a supervised machine learning approach. SMuRF is trained on community-curated matched tumor and normal whole genome sequencing data. SMuRF...
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| Publicado en: | Bioinformatics |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Oxford University Press
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6735703/ https://ncbi.nlm.nih.gov/pubmed/30649191 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz018 |
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