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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Autores principales:	Hatice U. Osmanbeyoglu, Eneda Toska, Carmen Chan, José Baselga, Christina S. Leslie
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/99e7d5a79ab04befb459858c19d44824
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spelling	oai:doaj.org-article:99e7d5a79ab04befb459858c19d448242021-12-02T17:06:02ZPancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs10.1038/ncomms142492041-1723https://doaj.org/article/99e7d5a79ab04befb459858c19d448242017-01-01T00:00:00Zhttps://doi.org/10.1038/ncomms14249https://doaj.org/toc/2041-1723Cancer 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.Hatice U. OsmanbeyogluEneda ToskaCarmen ChanJosé BaselgaChristina S. LeslieNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-14 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Hatice U. Osmanbeyoglu Eneda Toska Carmen Chan José Baselga Christina S. Leslie Pancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs
description	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.
format	article
author	Hatice U. Osmanbeyoglu Eneda Toska Carmen Chan José Baselga Christina S. Leslie
author_facet	Hatice U. Osmanbeyoglu Eneda Toska Carmen Chan José Baselga Christina S. Leslie
author_sort	Hatice U. Osmanbeyoglu
title	Pancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs
title_short	Pancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs
title_full	Pancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs
title_fullStr	Pancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs
title_full_unstemmed	Pancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs
title_sort	pancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/99e7d5a79ab04befb459858c19d44824
work_keys_str_mv	AT haticeuosmanbeyoglu pancancermodellingpredictsthecontextspecificimpactofsomaticmutationsontranscriptionalprograms AT enedatoska pancancermodellingpredictsthecontextspecificimpactofsomaticmutationsontranscriptionalprograms AT carmenchan pancancermodellingpredictsthecontextspecificimpactofsomaticmutationsontranscriptionalprograms AT josebaselga pancancermodellingpredictsthecontextspecificimpactofsomaticmutationsontranscriptionalprograms AT christinasleslie pancancermodellingpredictsthecontextspecificimpactofsomaticmutationsontranscriptionalprograms
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Pancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs

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