Dimension-agnostic and granularity-based spatially variable gene identification using BSP
Published in Nature Communications, 2023
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…
Recommended citation: Juexin Wang, Jinpu Li, Skyler T. Kramer, Li Su, Yuzhou Chang, Chunhui Xu, Michael T. Eadon, Krzysztof Kiryluk, et al.. (2023). "Dimension-agnostic and granularity-based spatially variable gene identification using BSP" Nature Communications.
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