DOI: 10.18129/B9.bioc.FlowSOM    

This is the development version of FlowSOM; for the stable release version, see FlowSOM.

Using self-organizing maps for visualization and interpretation of cytometry data

Bioconductor version: Development (3.17)

FlowSOM offers visualization options for cytometry data, by using Self-Organizing Map clustering and Minimal Spanning Trees.

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 at ugent.be>

Citation (from within R, enter citation("FlowSOM")):


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biocViews CellBasedAssays, CellBiology, Clustering, FlowCytometry, Software, Visualization
Version 2.7.0
In Bioconductor since BioC 3.1 (R-3.2) (7.5 years)
License GPL (>= 2)
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
URL http://www.r-project.org http://dambi.ugent.be
Depends On Me
Imports Me CATALYST, diffcyt, MetaCyto
Suggests Me HDCytoData
Links To Me
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Package Short Url https://bioconductor.org/packages/FlowSOM/
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