Package: scBSP
Version: 0.0.1
Date: 2024-02-06
Title: A Fast Tool for Single-Cell Spatially Variable Genes
        Identifications on Large-Scale Data
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 utilizes a granularity-based dimension-agnostic tool, 
	single-cell big-small patch (scBSP), implementing sparse matrix operation and KD tree 
	method 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: 7.2.1
NeedsCompilation: no
Packaged: 2024-02-08 17:20:50 UTC; lijinp
Author: Jinpu Li [aut, cre] (<https://orcid.org/0000-0002-6656-2896>)
Maintainer: Jinpu Li <castle.lee.f@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-09 18:40:02 UTC
Built: R 4.2.3; ; 2024-04-24 01:51:57 UTC; windows
