Article ; Online: Pancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs
Nature Communications, Vol 8, Iss 1, Pp 1-
2017 Volume 14
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. ...
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. |
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Keywords | Science ; Q |
Language | English |
Publishing date | 2017-01-01T00:00:00Z |
Publisher | Nature Portfolio |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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