Package: GrabSVG
Title: Granularity-Based Spatially Variable Genes Identifications
Version: 0.0.2
Authors@R: 
    person("Jinpu", "Li", , "castle.lee.f@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-6656-2896"))
Description: 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>).
License: GPL (>= 2)
Encoding: UTF-8
Imports: Matrix, sparseMatrixStats, fitdistrplus, RANN, spam
Suggests: knitr, rmarkdown
RoxygenNote: 7.2.1
NeedsCompilation: no
Packaged: 2026-10-15 07:11:59 UTC; root
Author: Jinpu Li [aut, cre] (<https://orcid.org/0000-0002-6656-2896>)
Maintainer: Jinpu Li <castle.lee.f@gmail.com>
Repository: https://castleli.r-universe.dev
Date/Publication: 2023-12-07 02:38:36 UTC
RemoteUrl: https://github.com/cran/GrabSVG
RemoteRef: HEAD
RemoteSha: 80386d75d2b474a2f2d0e51757ef9d5d4fcffcfc