Global computational alignment of tumor and cell line transcriptional profiles

The determination of whether cancer cell lines recapitulate the molecular features of corresponding patient tumours remains essential for the selection of appropriate cell line models for preclinical studies. The method developed here, Celligner, integrates cancer cell line and tumour RNA-seq datase...

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Autores principales:	Allison Warren, Yejia Chen, Andrew Jones, Tsukasa Shibue, William C. Hahn, Jesse S. Boehm, Francisca Vazquez, Aviad Tsherniak, James M. McFarland
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/3fba48e4d01a443c98e860de08f9d7ef
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spelling	oai:doaj.org-article:3fba48e4d01a443c98e860de08f9d7ef2021-12-02T15:16:23ZGlobal computational alignment of tumor and cell line transcriptional profiles10.1038/s41467-020-20294-x2041-1723https://doaj.org/article/3fba48e4d01a443c98e860de08f9d7ef2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-20294-xhttps://doaj.org/toc/2041-1723The determination of whether cancer cell lines recapitulate the molecular features of corresponding patient tumours remains essential for the selection of appropriate cell line models for preclinical studies. The method developed here, Celligner, integrates cancer cell line and tumour RNA-seq datasets and reveals large differences in their concordance across cell lines and cancer types.Allison WarrenYejia ChenAndrew JonesTsukasa ShibueWilliam C. HahnJesse S. BoehmFrancisca VazquezAviad TsherniakJames M. McFarlandNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Allison Warren Yejia Chen Andrew Jones Tsukasa Shibue William C. Hahn Jesse S. Boehm Francisca Vazquez Aviad Tsherniak James M. McFarland Global computational alignment of tumor and cell line transcriptional profiles
description	The determination of whether cancer cell lines recapitulate the molecular features of corresponding patient tumours remains essential for the selection of appropriate cell line models for preclinical studies. The method developed here, Celligner, integrates cancer cell line and tumour RNA-seq datasets and reveals large differences in their concordance across cell lines and cancer types.
format	article
author	Allison Warren Yejia Chen Andrew Jones Tsukasa Shibue William C. Hahn Jesse S. Boehm Francisca Vazquez Aviad Tsherniak James M. McFarland
author_facet	Allison Warren Yejia Chen Andrew Jones Tsukasa Shibue William C. Hahn Jesse S. Boehm Francisca Vazquez Aviad Tsherniak James M. McFarland
author_sort	Allison Warren
title	Global computational alignment of tumor and cell line transcriptional profiles
title_short	Global computational alignment of tumor and cell line transcriptional profiles
title_full	Global computational alignment of tumor and cell line transcriptional profiles
title_fullStr	Global computational alignment of tumor and cell line transcriptional profiles
title_full_unstemmed	Global computational alignment of tumor and cell line transcriptional profiles
title_sort	global computational alignment of tumor and cell line transcriptional profiles
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/3fba48e4d01a443c98e860de08f9d7ef
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_version_	1718387441112449024

Global computational alignment of tumor and cell line transcriptional profiles

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