Detailed modeling of positive selection improves detection of cancer driver genes

Finding driver genes sheds lights on the biological mechanisms propelling the development of a tumour, and can suggest therapeutic strategies. Here, the authors develop driverMAPS, a model-based approach to identify driver genes, and apply it to TCGA datasets.

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Autores principales:	Siming Zhao, Jun Liu, Pranav Nanga, Yuwen Liu, A. Ercument Cicek, Nicholas Knoblauch, Chuan He, Matthew Stephens, Xin He
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/e2cfc4a4bb3344c3b518ce9ae9dea3be
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spelling	oai:doaj.org-article:e2cfc4a4bb3344c3b518ce9ae9dea3be2021-12-02T17:02:18ZDetailed modeling of positive selection improves detection of cancer driver genes10.1038/s41467-019-11284-92041-1723https://doaj.org/article/e2cfc4a4bb3344c3b518ce9ae9dea3be2019-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-11284-9https://doaj.org/toc/2041-1723Finding driver genes sheds lights on the biological mechanisms propelling the development of a tumour, and can suggest therapeutic strategies. Here, the authors develop driverMAPS, a model-based approach to identify driver genes, and apply it to TCGA datasets.Siming ZhaoJun LiuPranav NangaYuwen LiuA. Ercument CicekNicholas KnoblauchChuan HeMatthew StephensXin HeNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Siming Zhao Jun Liu Pranav Nanga Yuwen Liu A. Ercument Cicek Nicholas Knoblauch Chuan He Matthew Stephens Xin He Detailed modeling of positive selection improves detection of cancer driver genes
description	Finding driver genes sheds lights on the biological mechanisms propelling the development of a tumour, and can suggest therapeutic strategies. Here, the authors develop driverMAPS, a model-based approach to identify driver genes, and apply it to TCGA datasets.
format	article
author	Siming Zhao Jun Liu Pranav Nanga Yuwen Liu A. Ercument Cicek Nicholas Knoblauch Chuan He Matthew Stephens Xin He
author_facet	Siming Zhao Jun Liu Pranav Nanga Yuwen Liu A. Ercument Cicek Nicholas Knoblauch Chuan He Matthew Stephens Xin He
author_sort	Siming Zhao
title	Detailed modeling of positive selection improves detection of cancer driver genes
title_short	Detailed modeling of positive selection improves detection of cancer driver genes
title_full	Detailed modeling of positive selection improves detection of cancer driver genes
title_fullStr	Detailed modeling of positive selection improves detection of cancer driver genes
title_full_unstemmed	Detailed modeling of positive selection improves detection of cancer driver genes
title_sort	detailed modeling of positive selection improves detection of cancer driver genes
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/e2cfc4a4bb3344c3b518ce9ae9dea3be
work_keys_str_mv	AT simingzhao detailedmodelingofpositiveselectionimprovesdetectionofcancerdrivergenes AT junliu detailedmodelingofpositiveselectionimprovesdetectionofcancerdrivergenes AT pranavnanga detailedmodelingofpositiveselectionimprovesdetectionofcancerdrivergenes AT yuwenliu detailedmodelingofpositiveselectionimprovesdetectionofcancerdrivergenes AT aercumentcicek detailedmodelingofpositiveselectionimprovesdetectionofcancerdrivergenes AT nicholasknoblauch detailedmodelingofpositiveselectionimprovesdetectionofcancerdrivergenes AT chuanhe detailedmodelingofpositiveselectionimprovesdetectionofcancerdrivergenes AT matthewstephens detailedmodelingofpositiveselectionimprovesdetectionofcancerdrivergenes AT xinhe detailedmodelingofpositiveselectionimprovesdetectionofcancerdrivergenes
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Detailed modeling of positive selection improves detection of cancer driver genes

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