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 (3.12)

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

Author: Sofie Van Gassen, Britt Callebaut and Yvan Saeys

Maintainer: Sofie Van Gassen <sofie.vangassen at ugent.be>

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


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PDF R Script FlowSOM
PDF   Reference Manual
Text   NEWS


biocViews CellBasedAssays, CellBiology, Clustering, FlowCytometry, Software, Visualization
Version 1.21.1
In Bioconductor since BioC 3.1 (R-3.2) (5.5 years)
License GPL (>= 2)
Depends R (>= 3.2), igraph
Imports stats, utils, flowCore, ConsensusClusterPlus, BiocGenerics, tsne, CytoML, flowWorkspace, XML, RColorBrewer
Suggests BiocStyle
URL http://www.r-project.org http://dambi.ugent.be
Depends On Me
Imports Me CATALYST, cytofast, CytoTree, diffcyt, flowSpy, MetaCyto
Suggests Me HDCytoData
Links To Me
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Source Package FlowSOM_1.21.1.tar.gz
Windows Binary FlowSOM_1.21.1.zip
macOS 10.13 (High Sierra) FlowSOM_1.21.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/FlowSOM
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/FlowSOM
Package Short Url https://bioconductor.org/packages/FlowSOM/
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