Identification of relevant genetic alterations in cancer using topological data analysis

Rare cancer mutations are often missed using recurrence-based statistical approaches, but are usually accompanied by changes in expression. Here the authors leverage this information to uncover several elusive candidate cancer-associated genes using topological data analysis.

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Autores principales:	Raúl Rabadán, Yamina Mohamedi, Udi Rubin, Tim Chu, Adam N. Alghalith, Oliver Elliott, Luis Arnés, Santiago Cal, Álvaro J. Obaya, Arnold J. Levine, Pablo G. Cámara
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/704bc0872a5c4264834902454745c986
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spelling	oai:doaj.org-article:704bc0872a5c4264834902454745c9862021-12-02T16:14:05ZIdentification of relevant genetic alterations in cancer using topological data analysis10.1038/s41467-020-17659-72041-1723https://doaj.org/article/704bc0872a5c4264834902454745c9862020-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17659-7https://doaj.org/toc/2041-1723Rare cancer mutations are often missed using recurrence-based statistical approaches, but are usually accompanied by changes in expression. Here the authors leverage this information to uncover several elusive candidate cancer-associated genes using topological data analysis.Raúl RabadánYamina MohamediUdi RubinTim ChuAdam N. AlghalithOliver ElliottLuis ArnésSantiago CalÁlvaro J. ObayaArnold J. LevinePablo G. CámaraNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Raúl Rabadán Yamina Mohamedi Udi Rubin Tim Chu Adam N. Alghalith Oliver Elliott Luis Arnés Santiago Cal Álvaro J. Obaya Arnold J. Levine Pablo G. Cámara Identification of relevant genetic alterations in cancer using topological data analysis
description	Rare cancer mutations are often missed using recurrence-based statistical approaches, but are usually accompanied by changes in expression. Here the authors leverage this information to uncover several elusive candidate cancer-associated genes using topological data analysis.
format	article
author	Raúl Rabadán Yamina Mohamedi Udi Rubin Tim Chu Adam N. Alghalith Oliver Elliott Luis Arnés Santiago Cal Álvaro J. Obaya Arnold J. Levine Pablo G. Cámara
author_facet	Raúl Rabadán Yamina Mohamedi Udi Rubin Tim Chu Adam N. Alghalith Oliver Elliott Luis Arnés Santiago Cal Álvaro J. Obaya Arnold J. Levine Pablo G. Cámara
author_sort	Raúl Rabadán
title	Identification of relevant genetic alterations in cancer using topological data analysis
title_short	Identification of relevant genetic alterations in cancer using topological data analysis
title_full	Identification of relevant genetic alterations in cancer using topological data analysis
title_fullStr	Identification of relevant genetic alterations in cancer using topological data analysis
title_full_unstemmed	Identification of relevant genetic alterations in cancer using topological data analysis
title_sort	identification of relevant genetic alterations in cancer using topological data analysis
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/704bc0872a5c4264834902454745c986
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Identification of relevant genetic alterations in cancer using topological data analysis

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