Package: BatchSVG
Type: Package
Title: Identify Batch-Biased Spatially Variable Genes
Version: 1.3.4
Authors@R:
    c(person(
        given = "Christine",
        family = "Hou",
        role = c("aut"),
        email = "chris2018hou@gmail.com",
        comment = c(ORCID = "0009-0001-5350-0629")
    ),
    c(person(
        given = "Kinnary",
        family = "Shah",
        role = c("aut", "cre"),
        email = "kinnaryshahh@gmail.com")
    ),    
    person(
        given = "Jacqueline R.",
        family = "Thompson",
        role = "aut",
        email = "jthom338@jh.edu"
    ),
    person(
        given = "Stephanie C.", 
        family = "Hicks", 
        role = c("aut","fnd"),
        email = "shicks19@jhu.edu", 
        comment = c(ORCID = "0000-0002-7858-0231"))
    )
Description: BatchSVG is a method to identify batch-biased spatially variable genes (SVGs) in spatial transcriptomics data. The batch variable can be defined as sample, donor sex, or other batch effects of interest. The BatchSVG method is based on the binomial deviance model (Townes et al, 2019).
License: Artistic-2.0
Imports:
    scry,
    dplyr,
    stats,
    rlang,
    cowplot,
    ggrepel,
    ggplot2,
    RColorBrewer,
    scales,
    SummarizedExperiment
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends: 
    R (>= 4.5.0)
Suggests:
    testthat (>= 3.0.0),
    knitr,
    rmarkdown,
    BiocStyle,
    spatialLIBD
VignetteBuilder: knitr
biocViews: Spatial, Transcriptomics, BatchEffect, QualityControl
URL: https://github.com/christinehou11/BatchSVG, 
    https://christinehou11.github.io/BatchSVG
BugReports: https://github.com/christinehou11/BatchSVG/issues
Config/testthat/edition: 3
LazyData: false
git_url: https://git.bioconductor.org/packages/BatchSVG
git_branch: devel
git_last_commit: 1a3f7ad
git_last_commit_date: 2025-12-04
Repository: Bioconductor 3.23
