Package: FlowSOM
Version: 2.0.0
Date: 2021-01-22
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, BiocGenerics, colorRamps, ConsensusClusterPlus,
        CytoML, dplyr, flowCore, flowWorkspace, ggforce, ggnewscale,
        ggplot2, ggpointdensity, ggpubr, ggrepel, grDevices, magrittr,
        methods, pheatmap, RColorBrewer, rlang, Rtsne, tidyr, XML,
        scattermore
Suggests: BiocStyle, testthat
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: 2021-05-19 21:42:26 UTC; biocbuild
RoxygenNote: 7.1.1
git_url: https://git.bioconductor.org/packages/FlowSOM
git_branch: RELEASE_3_13
git_last_commit: 663dedc
git_last_commit_date: 2021-05-19
Date/Publication: 2021-05-19
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 4.1.0; x86_64-conda-linux-gnu; 2021-06-05 07:56:23 UTC; unix
