Network models of primary melanoma microenvironments identify key melanoma regulators underlying prognosis

While the molecular profiling of melanoma progression has been extensively characterised by large-scale studies, there is still need for the comprehensive integration of such datasets. Here the authors construct predictive gene network models for prognostic and therapeutic purposes.

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Autores principales:	Won-Min Song, Praveen Agrawal, Richard Von Itter, Barbara Fontanals-Cirera, Minghui Wang, Xianxiao Zhou, Lara K. Mahal, Eva Hernando, Bin Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/34410138163b46d4b7214aefccddd28a
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spelling	oai:doaj.org-article:34410138163b46d4b7214aefccddd28a2021-12-02T14:13:39ZNetwork models of primary melanoma microenvironments identify key melanoma regulators underlying prognosis10.1038/s41467-021-21457-02041-1723https://doaj.org/article/34410138163b46d4b7214aefccddd28a2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21457-0https://doaj.org/toc/2041-1723While the molecular profiling of melanoma progression has been extensively characterised by large-scale studies, there is still need for the comprehensive integration of such datasets. Here the authors construct predictive gene network models for prognostic and therapeutic purposes.Won-Min SongPraveen AgrawalRichard Von ItterBarbara Fontanals-CireraMinghui WangXianxiao ZhouLara K. MahalEva HernandoBin ZhangNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Won-Min Song Praveen Agrawal Richard Von Itter Barbara Fontanals-Cirera Minghui Wang Xianxiao Zhou Lara K. Mahal Eva Hernando Bin Zhang Network models of primary melanoma microenvironments identify key melanoma regulators underlying prognosis
description	While the molecular profiling of melanoma progression has been extensively characterised by large-scale studies, there is still need for the comprehensive integration of such datasets. Here the authors construct predictive gene network models for prognostic and therapeutic purposes.
format	article
author	Won-Min Song Praveen Agrawal Richard Von Itter Barbara Fontanals-Cirera Minghui Wang Xianxiao Zhou Lara K. Mahal Eva Hernando Bin Zhang
author_facet	Won-Min Song Praveen Agrawal Richard Von Itter Barbara Fontanals-Cirera Minghui Wang Xianxiao Zhou Lara K. Mahal Eva Hernando Bin Zhang
author_sort	Won-Min Song
title	Network models of primary melanoma microenvironments identify key melanoma regulators underlying prognosis
title_short	Network models of primary melanoma microenvironments identify key melanoma regulators underlying prognosis
title_full	Network models of primary melanoma microenvironments identify key melanoma regulators underlying prognosis
title_fullStr	Network models of primary melanoma microenvironments identify key melanoma regulators underlying prognosis
title_full_unstemmed	Network models of primary melanoma microenvironments identify key melanoma regulators underlying prognosis
title_sort	network models of primary melanoma microenvironments identify key melanoma regulators underlying prognosis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/34410138163b46d4b7214aefccddd28a
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Network models of primary melanoma microenvironments identify key melanoma regulators underlying prognosis

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