In:
Nature Biotechnology, Springer Science and Business Media LLC
Abstract:
Recent studies have emphasized the importance of single-cell spatial biology, yet available assays for spatial transcriptomics have limited gene recovery or low spatial resolution. Here we introduce CytoSPACE, an optimization method for mapping individual cells from a single-cell RNA sequencing atlas to spatial expression profiles. Across diverse platforms and tissue types, we show that CytoSPACE outperforms previous methods with respect to noise tolerance and accuracy, enabling tissue cartography at single-cell resolution.
Type of Medium:
Online Resource
ISSN:
1087-0156
,
1546-1696
DOI:
10.1038/s41587-023-01697-9
Language:
English
Publisher:
Springer Science and Business Media LLC
Publication Date:
2023
detail.hit.zdb_id:
1494943-X
detail.hit.zdb_id:
1311932-1
SSG:
12
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