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Article

Dimension-agnostic and granularity-based spatially variable gene identification using BSP.

Nature communications - 14 Nov 2023

Wang Juexin, Li Jinpu, Kramer Skyler T, Su Li, Chang Yuzhou, Xu Chunhui, Eadon Michael T, Kiryluk Krzysztof, Ma Qin, Xu Dong

Abstract excerpt

Identifying spatially variable genes (SVGs) is critical in linking molecular cell functions with tissue phenotypes. Spatially resolved transcriptomics captures cellular-level gene expression with corresponding spatial coordinates in two or three dimensions and can be used to infer SVGs effectively. However, current computational methods may not achieve reliable results and often cannot handle three-dimensional...

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Identifiers

PMID: 37963892
DOI: 10.1038/s41467-023-43256-5
PMCID: PMC10645821

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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