Pancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs
oleh: Hatice U. Osmanbeyoglu, Eneda Toska, Carmen Chan, José Baselga, Christina S. Leslie
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2017-01-01 |
Deskripsi
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.