To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("FlowSOM")

In most cases, you don't need to download the package archive at all.

FlowSOM

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

Bioconductor version: Release (3.1)

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 and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("FlowSOM")

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

browseVignettes("FlowSOM")

PDF	R Script	Using SOMs for visualization of cytometry data
PDF		Reference Manual
Text		NEWS

biocViews	CellBasedAssays, CellBiology, Clustering, FlowCytometry, Software, Visualization
Version	1.0.0
In Bioconductor since	BioC 3.1 (R-3.2) (< 6 months)
License	GPL (>= 2)
Depends	R (>= 2.11), flowCore, igraph, ConsensusClusterPlus, BiocGenerics, tsne
Imports
LinkingTo
Suggests	flowUtils, BiocStyle
SystemRequirements
Enhances
URL	http://www.r-project.org http://dambi.ugent.be
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	FlowSOM_1.0.0.tar.gz
Windows Binary	FlowSOM_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	FlowSOM_1.0.0.tgz
Mac OS X 10.9 (Mavericks)	FlowSOM_1.0.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/FlowSOM/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/FlowSOM/
Package Downloads Report	Download Stats

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