saeyslab/FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data
Version 1.10.3

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

Getting started

Package details

AuthorSofie Van Gassen, Britt Callebaut and Yvan Saeys
Bioconductor views CellBasedAssays CellBiology Clustering FlowCytometry Software Visualization
MaintainerSofie Van Gassen <[email protected]>
LicenseGPL (>= 2)
Version1.10.3
URL http://www.r-project.org http://dambi.ugent.be
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("saeyslab/FlowSOM")
saeyslab/FlowSOM documentation built on May 20, 2018, 4:42 a.m.