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4 months ago

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

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

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 spatial transcriptomic data.

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

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

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