Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival

Identifying molecular subtypes of cancer can improve personalized treatment. Here the authors present CIMLR, an algorithm that integrates multi-omic data to reveal cancer subtypes; subtypes discovered by CIMLR differ in activity of cancer-associated pathways and are significantly predictive of patie...

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Autores principales:	Daniele Ramazzotti, Avantika Lal, Bo Wang, Serafim Batzoglou, Arend Sidow
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/854b133896654b718d0116d257de03ee
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spelling	oai:doaj.org-article:854b133896654b718d0116d257de03ee2021-12-02T17:31:59ZMulti-omic tumor data reveal diversity of molecular mechanisms that correlate with survival10.1038/s41467-018-06921-82041-1723https://doaj.org/article/854b133896654b718d0116d257de03ee2018-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-06921-8https://doaj.org/toc/2041-1723Identifying molecular subtypes of cancer can improve personalized treatment. Here the authors present CIMLR, an algorithm that integrates multi-omic data to reveal cancer subtypes; subtypes discovered by CIMLR differ in activity of cancer-associated pathways and are significantly predictive of patient outcomes.Daniele RamazzottiAvantika LalBo WangSerafim BatzoglouArend SidowNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-14 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Daniele Ramazzotti Avantika Lal Bo Wang Serafim Batzoglou Arend Sidow Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival
description	Identifying molecular subtypes of cancer can improve personalized treatment. Here the authors present CIMLR, an algorithm that integrates multi-omic data to reveal cancer subtypes; subtypes discovered by CIMLR differ in activity of cancer-associated pathways and are significantly predictive of patient outcomes.
format	article
author	Daniele Ramazzotti Avantika Lal Bo Wang Serafim Batzoglou Arend Sidow
author_facet	Daniele Ramazzotti Avantika Lal Bo Wang Serafim Batzoglou Arend Sidow
author_sort	Daniele Ramazzotti
title	Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival
title_short	Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival
title_full	Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival
title_fullStr	Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival
title_full_unstemmed	Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival
title_sort	multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/854b133896654b718d0116d257de03ee
work_keys_str_mv	AT danieleramazzotti multiomictumordatarevealdiversityofmolecularmechanismsthatcorrelatewithsurvival AT avantikalal multiomictumordatarevealdiversityofmolecularmechanismsthatcorrelatewithsurvival AT bowang multiomictumordatarevealdiversityofmolecularmechanismsthatcorrelatewithsurvival AT serafimbatzoglou multiomictumordatarevealdiversityofmolecularmechanismsthatcorrelatewithsurvival AT arendsidow multiomictumordatarevealdiversityofmolecularmechanismsthatcorrelatewithsurvival
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Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival

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