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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f4a6e22defa144b7ba4de8cfceb89169

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

About this item

Full title

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

Author / Creator

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2020-04, Vol.11 (1), p.2084-2084, Article 2084

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Single-cell RNA sequencing (scRNA-seq) provides details for individual cells; however, crucial spatial information is often lost. We present SpaOTsc, a method relying on structured optimal transport to recover spatial properties of scRNA-seq data by utilizing spatial measurements of a relatively small number of genes. A spatial metric for individua...

Alternative Titles

Full title

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

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f4a6e22defa144b7ba4de8cfceb89169

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f4a6e22defa144b7ba4de8cfceb89169

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-020-15968-5

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