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Predicting clinical outcomes using cancer progression associated signatures
Somatic mutation signatures are an informative facet of cancer aetiology, however they are rarely useful for predicting patient outcome. The aim of this study is to evaluate the utility of a panel of 142 mutation-signature–associated metrics (P142) for predicting cancer progression in patients from...
Autores principales: | Mamrot, Jared, Hall, Nathan E., Lindley, Robyn A. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057277/ https://www.ncbi.nlm.nih.gov/pubmed/33889305 http://dx.doi.org/10.18632/oncotarget.27934 |
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