Package: BatchSVG Type: Package Title: Identify Batch-Biased Spatially Variable Genes Version: 1.5.3 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, WeberDivechaLCdata 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 Config/pak/sysreqs: zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-06-10 20:52:48 UTC RemoteUrl: https://github.com/bioc/BatchSVG RemoteRef: HEAD RemoteSha: e95b4dd91a02d338e590f0f1c3e4d60a574a7c07 NeedsCompilation: no Packaged: 2026-07-10 10:21:00 UTC; root Author: Christine Hou [aut] (ORCID: ), Kinnary Shah [aut, cre], Jacqueline R. Thompson [aut], Stephanie C. Hicks [aut, fnd] (ORCID: ) Maintainer: Kinnary Shah