Package: FlowSOM
Version: 2.10.0
Date: 2023-04-21
Title: Using self-organizing maps for visualization and interpretation
        of cytometry data
Authors@R: c(person("Sofie", "Van Gassen", role = c("aut", "cre"),
            email = "sofie.vangassen@ugent.be"),
            person("Artuur", "Couckuyt", role = c("aut"),
            email = "artuur.couckuyt@ugent.be"),
            person("Katrien", "Quintelier", role = c("aut"),
            email = "katrienL.Quintelier@ugent.be"),
            person("Annelies", "Emmaneel", role = c("aut"),
            email = "annelies.emmaneel@ugent.be"),
            person("Britt","Callebaut",role="aut",
            email="britt.callebaut@ugent.be"),
            person("Yvan", "Saeys", role = "aut", 
            email="yvan.saeys@ugent.be"))
Depends: R (>= 4.0), igraph
Imports: stats, utils, colorRamps, ConsensusClusterPlus, dplyr,
        flowCore, ggforce, ggnewscale, ggplot2, ggpubr, grDevices,
        magrittr, methods, rlang, Rtsne, tidyr, BiocGenerics, XML
Suggests: BiocStyle, testthat, CytoML, flowWorkspace, ggrepel,
        scattermore, pheatmap, ggpointdensity
Description: FlowSOM offers visualization options for cytometry data,
    by using Self-Organizing Map clustering and Minimal Spanning Trees.
License: GPL (>= 2)
URL: http://www.r-project.org, http://dambi.ugent.be
biocViews: CellBiology, FlowCytometry, Clustering, Visualization,
        Software, CellBasedAssays
Packaged: 2023-10-24 21:15:51 UTC; biocbuild
RoxygenNote: 7.2.3
Encoding: UTF-8
git_url: https://git.bioconductor.org/packages/FlowSOM
git_branch: RELEASE_3_18
git_last_commit: 36b3305
git_last_commit_date: 2023-10-24
Date/Publication: 2023-10-24
NeedsCompilation: yes
Author: Sofie Van Gassen [aut, cre],
  Artuur Couckuyt [aut],
  Katrien Quintelier [aut],
  Annelies Emmaneel [aut],
  Britt Callebaut [aut],
  Yvan Saeys [aut]
Maintainer: Sofie Van Gassen <sofie.vangassen@ugent.be>
Built: R 4.3.3; x86_64-apple-darwin13.4.0; 2024-05-09 20:30:23 UTC; unix
