FlowSOM

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

Bioconductor version: 3.23 · Package version: 2.20.0

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

Installation

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

BiocManager::install("FlowSOM")

Maintainer	Sofie Van Gassen <sofie.vangassen@ugent.be>
Author	Sofie Van Gassen [aut, cre], Artuur Couckuyt [aut], Katrien Quintelier [aut], Annelies Emmaneel [aut], Sarah Bonte [aut], Robbe Fonteyn [aut], Britt Callebaut [aut], Yvan Saeys [aut]
License	GPL (>= 2)
URL	http://www.r-project.org, http://dambi.ugent.be
Downloads rank	1465
Source branch	RELEASE_3_23
biocViews	CellBasedAssays, CellBiology, Clustering, FlowCytometry, Software, Visualization

Dependencies

Depends: R (>= 4.5), 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, ComplexHeatmap

Reverse dependencies

Imports Me (3): CATALYST, diffcyt, MetaCyto

Suggests Me (2): HDCytoData, tidytof