Package: scBSP
Version: 1.1.0
Date: 2025-09-01
Title: A Fast Tool for Single-Cell Spatially Variable Genes
        Identifications on Large-Scale Data
Authors@R: c(
    person("Jinpu", "Li", email = "castle.lee.f@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-6656-2896")),
    person("Yiqing", "Wang", email = "yiqing@wangemail.com", role = "aut")
	)
Description: Identifying spatially variable genes is critical in
        linking molecular cell functions with tissue phenotypes. This
        package utilizes a granularity-based dimension-agnostic tool,
        single-cell big-small patch (scBSP), implementing sparse matrix
        operation and KD tree methods for distance calculation, for the
        identification of spatially variable genes on large-scale data.
        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: 7.3.2
Repository: https://castleli.r-universe.dev
Date/Publication: 2025-09-02 02:49:18 UTC
RemoteUrl: https://github.com/castleli/scbsp
RemoteRef: HEAD
RemoteSha: 94e05397b9f5d4ff7e4434364f9c43c4fc6a1635
NeedsCompilation: no
Packaged: 2026-10-17 08:26:13 UTC; root
Author: Jinpu Li [aut, cre] (ORCID: <https://orcid.org/0000-0002-6656-2896>),
  Yiqing Wang [aut]
Maintainer: Jinpu Li <castle.lee.f@gmail.com>