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.

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Auteurs principaux: Hatice U. Osmanbeyoglu, Eneda Toska, Carmen Chan, José Baselga, Christina S. Leslie
Format: article
Langue:EN
Publié: Nature Portfolio 2017
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Accès en ligne:https://doaj.org/article/99e7d5a79ab04befb459858c19d44824
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