Inferring spatial and signaling relationships between cells from single cell transcriptomic data

Dissociation of tissues allows high-throughput expression profiling of single cells, but spatial information is lost. Here the authors apply an unbalanced and structured optimal transport method to infer spatial and signalling relationships between cells from scRNA-seq data by integrating it with sp...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Zixuan Cang, Qing Nie
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/f4a6e22defa144b7ba4de8cfceb89169
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f4a6e22defa144b7ba4de8cfceb89169
record_format	dspace
spelling	oai:doaj.org-article:f4a6e22defa144b7ba4de8cfceb891692021-12-02T15:37:18ZInferring spatial and signaling relationships between cells from single cell transcriptomic data10.1038/s41467-020-15968-52041-1723https://doaj.org/article/f4a6e22defa144b7ba4de8cfceb891692020-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15968-5https://doaj.org/toc/2041-1723Dissociation of tissues allows high-throughput expression profiling of single cells, but spatial information is lost. Here the authors apply an unbalanced and structured optimal transport method to infer spatial and signalling relationships between cells from scRNA-seq data by integrating it with spatial imaging data.Zixuan CangQing NieNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Zixuan Cang Qing Nie Inferring spatial and signaling relationships between cells from single cell transcriptomic data
description	Dissociation of tissues allows high-throughput expression profiling of single cells, but spatial information is lost. Here the authors apply an unbalanced and structured optimal transport method to infer spatial and signalling relationships between cells from scRNA-seq data by integrating it with spatial imaging data.
format	article
author	Zixuan Cang Qing Nie
author_facet	Zixuan Cang Qing Nie
author_sort	Zixuan Cang
title	Inferring spatial and signaling relationships between cells from single cell transcriptomic data
title_short	Inferring spatial and signaling relationships between cells from single cell transcriptomic data
title_full	Inferring spatial and signaling relationships between cells from single cell transcriptomic data
title_fullStr	Inferring spatial and signaling relationships between cells from single cell transcriptomic data
title_full_unstemmed	Inferring spatial and signaling relationships between cells from single cell transcriptomic data
title_sort	inferring spatial and signaling relationships between cells from single cell transcriptomic data
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/f4a6e22defa144b7ba4de8cfceb89169
work_keys_str_mv	AT zixuancang inferringspatialandsignalingrelationshipsbetweencellsfromsinglecelltranscriptomicdata AT qingnie inferringspatialandsignalingrelationshipsbetweencellsfromsinglecelltranscriptomicdata
_version_	1718386268830695424

Inferring spatial and signaling relationships between cells from single cell transcriptomic data

Ejemplares similares