Package: FlowSOM
Version: 1.19.4
Date: 2019-12-04
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("Britt","Callebaut",role="aut",
            email="britt.callebaut@ugent.be"),
            person("Yvan", "Saeys", role = "aut", email="yvan.saeys@ugent.be"))
Author: Sofie Van Gassen, Britt Callebaut and Yvan Saeys
Maintainer: Sofie Van Gassen <sofie.vangassen@ugent.be>
Depends: R (>= 3.2), igraph
Imports: stats, utils, flowCore, ConsensusClusterPlus, BiocGenerics,
        tsne, CytoML, flowWorkspace, XML, RColorBrewer
Suggests: BiocStyle
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: 2020-03-28 04:20:46 UTC; biocbuild
RoxygenNote: 7.1.0
git_url: https://git.bioconductor.org/packages/FlowSOM
git_branch: master
git_last_commit: 72f878a
git_last_commit_date: 2020-03-27
Date/Publication: 2020-03-27
NeedsCompilation: yes
Built: R 4.0.0; i386-w64-mingw32; 2020-03-28 15:43:39 UTC; windows
Archs: i386, x64
