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Large-scale characterization of cell niches in spatial atlases using bio-inspired graph learning

Large-scale characterization of cell niches in spatial atlases using bio-inspired graph learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2931021830

Large-scale characterization of cell niches in spatial atlases using bio-inspired graph learning

About this item

Full title

Large-scale characterization of cell niches in spatial atlases using bio-inspired graph learning

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2024-02

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

More information

Scope and Contents

Contents

Spatial omics holds great potential to elucidate tissue architecture by dissecting underlying cell niches and cellular interactions. However, we lack an end-to-end computational framework that can effectively integrate different spatial omics tissue samples, quantitatively characterize cell niches based on biological knowledge of cell-cell communic...

Alternative Titles

Full title

Large-scale characterization of cell niches in spatial atlases using bio-inspired graph learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2931021830

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2931021830

Other Identifiers

DOI

10.1101/2024.02.21.581428