Package: FlowSOM
Version: 1.18.0
Date: 2019-01-18
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"))
Depends: R (>= 3.6), igraph
Imports: stats, utils, flowCore, ConsensusClusterPlus, BiocGenerics,
        tsne, flowWorkspace, CytoML, 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: 2019-10-30 01:16:03 UTC; biocbuild
RoxygenNote: 6.1.1
git_url: https://git.bioconductor.org/packages/FlowSOM
git_branch: RELEASE_3_10
git_last_commit: 850e5b7
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
NeedsCompilation: yes
Author: Sofie Van Gassen [aut, cre],
  Britt Callebaut [aut],
  Yvan Saeys [aut]
Maintainer: Sofie Van Gassen <sofie.vangassen@ugent.be>
Built: R 3.6.1; x86_64-apple-darwin13.4.0; 2019-11-01 21:09:30 UTC; unix
