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Cell segmentation-free inference of cell types from in situ transcriptomics data

Cell segmentation-free inference of cell types from in situ transcriptomics data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a175c0b017934a918d3257520493c81c

Cell segmentation-free inference of cell types from in situ transcriptomics data

About this item

Full title

Cell segmentation-free inference of cell types from in situ transcriptomics data

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2021-06, Vol.12 (1), p.3545-13, Article 3545

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Multiplexed fluorescence in situ hybridization techniques have enabled cell-type identification, linking transcriptional heterogeneity with spatial heterogeneity of cells. However, inaccurate cell segmentation reduces the efficacy of cell-type identification and tissue characterization. Here, we present a method called Spot-based Spatial cell-type...

Alternative Titles

Full title

Cell segmentation-free inference of cell types from in situ transcriptomics data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a175c0b017934a918d3257520493c81c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a175c0b017934a918d3257520493c81c

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-021-23807-4

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