FlowSOM

This package is for version 3.7 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: 3.7

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 "3.5") 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.

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

browseVignettes("FlowSOM")

biocViews	CellBasedAssays, CellBiology, Clustering, FlowCytometry, Software, Visualization
Version	1.12.0
In Bioconductor since	BioC 3.1 (R-3.2) (9 years)
License	GPL (>= 2)
Depends	R (>= 3.2), igraph
Imports	flowCore, ConsensusClusterPlus, BiocGenerics, tsne, XML, flowUtils
System Requirements
URL	http://www.r-project.org http://dambi.ugent.be

Suggests	BiocStyle
Linking To
Enhances
Depends On Me
Imports Me	CATALYST, cytofkit, cytofWorkflow, diffcyt, MetaCyto
Suggests Me	HDCytoData
Links To Me
Build Report	Build Report

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

Source Package	FlowSOM_1.12.0.tar.gz
Windows Binary	FlowSOM_1.12.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	FlowSOM_1.12.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/FlowSOM
Source Repository (Developer Access)	git clone [email protected]:packages/FlowSOM
Package Short Url	https://bioconductor.org/packages/FlowSOM/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.7	Source Archive