FlowSOM

This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see FlowSOM.

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

Bioconductor version: 3.10

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

Author: Sofie Van Gassen [aut, cre], Britt Callebaut [aut], Yvan Saeys [aut]

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

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

To install this package, start R (version "3.6") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
BiocManager::install("FlowSOM")

For older versions of R, please refer to the appropriate Bioconductor release.

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("FlowSOM")

FlowSOM PDF R Script

Reference Manual PDF

NEWS Text

Version 1.18.0

In Bioconductor since BioC 3.1 (R-3.2) (9 years)

License GPL (>= 2)

Depends R (>= 3.6), igraph

Imports stats, utils, flowCore, ConsensusClusterPlus, BiocGenerics, tsne, flowWorkspace, CytoML, XML, RColorBrewer

System Requirements

Suggests BiocStyle

Linking To

Enhances

Depends On Me

Suggests Me HDCytoData

Links To Me

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Follow Installation instructions to use this package in your R session.

Source Package FlowSOM_1.18.0.tar.gz

Windows Binary FlowSOM_1.18.0.zip

Mac OS X 10.11 (El Capitan) FlowSOM_1.18.0.tgz

Source Repository git clone https://git.bioconductor.org/packages/FlowSOM

Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/FlowSOM

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Old Source Packages for BioC 3.10 Source Archive