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
NeedsCompilation: no
Packaged: 2025-09-01 18:25:17 UTC; castl
Author: Jinpu Li [aut, cre] (ORCID: <https://orcid.org/0000-0002-6656-2896>),
  Yiqing Wang [aut]
Maintainer: Jinpu Li <castle.lee.f@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-01 19:30:02 UTC
Built: R 4.6.0; ; 2026-04-27 20:04:23 UTC; unix
