FlowSOM

DOI: 10.18129/B9.bioc.FlowSOM    

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

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("FlowSOM")

Documentation

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

browseVignettes("FlowSOM")

 

PDF	R Script	FlowSOM
PDF		Reference Manual
Text		NEWS

Details

biocViews	CellBasedAssays, CellBiology, Clustering, FlowCytometry, Software, Visualization
Version	1.10.0
In Bioconductor since	BioC 3.1 (R-3.2) (3 years)
License	GPL (>= 2)
Depends	R (>= 3.2), igraph
Imports	flowCore, ConsensusClusterPlus, BiocGenerics, tsne, XML, flowUtils
LinkingTo
Suggests	BiocStyle
SystemRequirements
Enhances
URL	http://www.r-project.org http://dambi.ugent.be
Depends On Me
Imports Me	cytofkit, MetaCyto
Suggests Me
Build Report

Package Archives

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

Source Package	FlowSOM_1.10.0.tar.gz
Windows Binary	FlowSOM_1.10.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	FlowSOM_1.10.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/FlowSOM
Package Short Url	http://bioconductor.org/packages/FlowSOM/
Package Downloads Report	Download Stats