This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see FlowSOM.
Bioconductor version: 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")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("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")
R Script | FlowSOM | |
Reference Manual | ||
Text | NEWS |
biocViews | CellBasedAssays, CellBiology, Clustering, FlowCytometry, Software, Visualization |
Version | 1.22.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (6 years) |
License | GPL (>= 2) |
Depends | R (>= 3.2), igraph |
Imports | stats, utils, flowCore, ConsensusClusterPlus, BiocGenerics, tsne, CytoML, flowWorkspace, XML, RColorBrewer |
LinkingTo | |
Suggests | BiocStyle |
SystemRequirements | |
Enhances | |
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 | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | FlowSOM_1.22.0.tar.gz |
Windows Binary | FlowSOM_1.22.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | FlowSOM_1.22.0.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/ |
Package Downloads Report | Download Stats |
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