Package: FlowSOM
Version: 2.16.0
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 = "[email protected]"),
            person("Artuur", "Couckuyt", role = c("aut"),
            email = "[email protected]"),
            person("Katrien", "Quintelier", role = c("aut"),
            email = "[email protected]"),
            person("Annelies", "Emmaneel", role = c("aut"),
            email = "[email protected]"),
            person("Britt","Callebaut",role="aut",
            email="[email protected]"),
            person("Yvan", "Saeys", role = "aut", 
            email="[email protected]"))
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)
LazyData: true
URL: http://www.r-project.org, http://dambi.ugent.be
biocViews: CellBiology, FlowCytometry, Clustering, Visualization,
    Software, CellBasedAssays
Packaged: 2014-11-04 23:46:33 UTC; nhayden
RoxygenNote: 7.2.3
Encoding: UTF-8