Package: cytoviewer
Version: 1.2.0
Title: An interactive multi-channel image viewer for R
Description: 
    This R package supports interactive visualization of multi-channel images 
    and segmentation masks generated by imaging mass cytometry and other highly 
    multiplexed imaging techniques using shiny. The cytoviewer interface is 
    divided into image-level (Composite and Channels) and cell-level 
    visualization (Masks). It allows users to overlay individual images with 
    segmentation masks, integrates well with SingleCellExperiment and 
    SpatialExperiment objects for metadata visualization and 
    supports image downloads.
Authors@R: 
    c(person("Lasse", "Meyer", role = c("aut", "cre"), 
      email = "lasse.meyer@dqbm.uzh.ch",
      comment = c(ORCID = "0000-0002-1660-1199")),
      person("Nils", "Eling", role = c("aut"), 
      email = "nils.eling@dqbm.uzh.ch",
      comment = c(ORCID = "0000-0002-4711-1176")))
License: GPL-3
Imports: shiny, shinydashboard, utils, colourpicker, shinycssloaders,
        svgPanZoom, viridis, archive, grDevices, RColorBrewer, svglite,
        EBImage, methods, cytomapper, SingleCellExperiment, S4Vectors,
        SummarizedExperiment
Suggests: BiocStyle, knitr, rmarkdown, markdown, testthat
biocViews: ImmunoOncology, Software, SingleCell, OneChannel,
        TwoChannel, MultiChannel, Spatial, DataImport
VignetteBuilder: knitr
URL: https://github.com/BodenmillerGroup/cytoviewer
BugReports: https://github.com/BodenmillerGroup/cytoviewer/issues
RoxygenNote: 7.2.3
Encoding: UTF-8
git_url: https://git.bioconductor.org/packages/cytoviewer
git_branch: RELEASE_3_18
git_last_commit: 96bf9c6
git_last_commit_date: 2023-10-24
Date/Publication: 2023-10-24
NeedsCompilation: no
Packaged: 2023-10-24 20:54:05 UTC; biocbuild
Author: Lasse Meyer [aut, cre] (<https://orcid.org/0000-0002-1660-1199>),
  Nils Eling [aut] (<https://orcid.org/0000-0002-4711-1176>)
Maintainer: Lasse Meyer <lasse.meyer@dqbm.uzh.ch>
Built: R 4.3.2; ; 2023-12-07 23:56:01 UTC; unix
