Package: CTSV
Type: Package
Title: Identification of cell-type-specific spatially variable genes
        accounting for excess zeros
Version: 1.12.0
Authors@R: 
    c(person("Jinge Yu", "Developer", role = c("aut","cre"), 
             email = "yjgruc@ruc.edu.cn"),
      person("Xiangyu Luo", "Developer", role = "aut",
             email = "xiangyuluo@ruc.edu.cn"))
Description: The R package CTSV implements the CTSV approach developed
        by Jinge Yu and Xiangyu Luo that detects cell-type-specific
        spatially variable genes accounting for excess zeros. CTSV
        directly models sparse raw count data through a zero-inflated
        negative binomial regression model, incorporates cell-type
        proportions, and performs hypothesis testing based on R package
        pscl. The package outputs p-values and q-values for genes in
        each cell type, and CTSV is scalable to datasets with tens of
        thousands of genes measured on hundreds of spots. CTSV can be
        installed in Windows, Linux, and Mac OS.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.0
Depends: R (>= 4.2),
URL: https://github.com/jingeyu/CTSV
BugReports: https://github.com/jingeyu/CTSV/issues
Imports: stats, pscl, qvalue, BiocParallel, methods, knitr,
        SpatialExperiment, SummarizedExperiment
Suggests: testthat, BiocStyle
biocViews: GeneExpression, StatisticalMethod, Regression, Spatial,
        Genetics
NeedsCompilation: yes
VignetteBuilder: knitr
Config/pak/sysreqs: libmagick++-dev gsfonts libicu-dev libssl-dev
        zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 15:17:28 UTC
RemoteUrl: https://github.com/bioc/CTSV
RemoteRef: RELEASE_3_22
RemoteSha: 862c792f4c9604620965aecdf4932ced6a31f07f
Packaged: 2025-11-11 13:51:42 UTC; root
Author: Jinge Yu Developer [aut, cre],
  Xiangyu Luo Developer [aut]
Maintainer: Jinge Yu Developer <yjgruc@ruc.edu.cn>
Built: R 4.5.2; ; 2025-11-11 13:58:25 UTC; windows
