ClusterMap for multi-scale clustering analysis of spatial gene expression

In situ transcriptomics maps RNA expression patterns across intact tissues taking our understanding of gene expression to a new level. Here, the authors present a computational method that uncovers gene expression, cell niche, and tissue region patterns from 2D and 3D spatial transcriptomics.

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Detalles Bibliográficos
Autores principales:	Yichun He, Xin Tang, Jiahao Huang, Jingyi Ren, Haowen Zhou, Kevin Chen, Albert Liu, Hailing Shi, Zuwan Lin, Qiang Li, Abhishek Aditham, Johain Ounadjela, Emanuelle I. Grody, Jian Shu, Jia Liu, Xiao Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/ff58b316e7154332a514271fdae78380
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spelling	oai:doaj.org-article:ff58b316e7154332a514271fdae783802021-12-02T18:07:53ZClusterMap for multi-scale clustering analysis of spatial gene expression10.1038/s41467-021-26044-x2041-1723https://doaj.org/article/ff58b316e7154332a514271fdae783802021-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26044-xhttps://doaj.org/toc/2041-1723In situ transcriptomics maps RNA expression patterns across intact tissues taking our understanding of gene expression to a new level. Here, the authors present a computational method that uncovers gene expression, cell niche, and tissue region patterns from 2D and 3D spatial transcriptomics.Yichun HeXin TangJiahao HuangJingyi RenHaowen ZhouKevin ChenAlbert LiuHailing ShiZuwan LinQiang LiAbhishek AdithamJohain OunadjelaEmanuelle I. GrodyJian ShuJia LiuXiao WangNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yichun He Xin Tang Jiahao Huang Jingyi Ren Haowen Zhou Kevin Chen Albert Liu Hailing Shi Zuwan Lin Qiang Li Abhishek Aditham Johain Ounadjela Emanuelle I. Grody Jian Shu Jia Liu Xiao Wang ClusterMap for multi-scale clustering analysis of spatial gene expression
description	In situ transcriptomics maps RNA expression patterns across intact tissues taking our understanding of gene expression to a new level. Here, the authors present a computational method that uncovers gene expression, cell niche, and tissue region patterns from 2D and 3D spatial transcriptomics.
format	article
author	Yichun He Xin Tang Jiahao Huang Jingyi Ren Haowen Zhou Kevin Chen Albert Liu Hailing Shi Zuwan Lin Qiang Li Abhishek Aditham Johain Ounadjela Emanuelle I. Grody Jian Shu Jia Liu Xiao Wang
author_facet	Yichun He Xin Tang Jiahao Huang Jingyi Ren Haowen Zhou Kevin Chen Albert Liu Hailing Shi Zuwan Lin Qiang Li Abhishek Aditham Johain Ounadjela Emanuelle I. Grody Jian Shu Jia Liu Xiao Wang
author_sort	Yichun He
title	ClusterMap for multi-scale clustering analysis of spatial gene expression
title_short	ClusterMap for multi-scale clustering analysis of spatial gene expression
title_full	ClusterMap for multi-scale clustering analysis of spatial gene expression
title_fullStr	ClusterMap for multi-scale clustering analysis of spatial gene expression
title_full_unstemmed	ClusterMap for multi-scale clustering analysis of spatial gene expression
title_sort	clustermap for multi-scale clustering analysis of spatial gene expression
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/ff58b316e7154332a514271fdae78380
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ClusterMap for multi-scale clustering analysis of spatial gene expression

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