Pancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs

Abstract

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.