Pancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs
Cancer genomic data sets contain a wealth of data that can be used to predict prognosis and further understand disease. Here, the authors integrate multiple genomics data types to identify transcriptional dysregulation in response to somatic mutations.
Gardado en:
| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2017-01-01
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| Series: | Nature Communications |
| Acceso en liña: | https://doi.org/10.1038/ncomms14249 |
| Tags: |
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