This is the released version of FlowSOM; for the devel version, see FlowSOM.
Using self-organizing maps for visualization and interpretation of cytometry dataBioconductor version: Release (3.21)
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, entercitation("FlowSOM")
): Installation
To install this package, start R (version "4.5") 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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("FlowSOM")
Details biocViews CellBasedAssays, CellBiology, Clustering, FlowCytometry, Software, Visualization Version 2.16.0 In Bioconductor since BioC 3.1 (R-3.2) (10 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 System Requirements URL http://www.r-project.org http://dambi.ugent.be See More Package Archives
Follow Installation instructions to use this package in your R session.
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