Granularity-Based Spatially Variable Genes Identifications R package GrabSVG version 0.0.2 Identifying spatially variable genes is critical in linking molecular cell functions with tissue phenotypes. This package implemented a granularity-based dimension-agnostic tool for the identification of spatially variable genes. The detailed description of this method is available at Wang, J. and Li, J. et al. 2023 (Wang, J. and Li, J. (2023), <doi:10.1038/s41467-023-43256-5>). Software Imports: Matrix, sparseMatrixStats, fitdistrplus, RANN, spam Suggests: knitr, rmarkdown Jinpu Li <castle.lee.f@gmail.com> Comprehensive R Archive Network (CRAN) Jinpu Li [aut, cre] (ORCID: <https://orcid.org/0000-0002-6656-2896>) GPL (>= 2) 2023-12-06 application/tgz https://CRAN.R-project.org/package=GrabSVG doi:10.32614/CRAN.package.GrabSVG