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Bioconductor 3.22 Released

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FlowSOM

This is thereleased version of FlowSOM; for the devel version, seeFlowSOM.

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

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DOI: 10.18129/B9.bioc.FlowSOM


Bioconductor version: Release (3.22)

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

Author: Sofie Van Gassen [aut, cre], Artuur Couckuyt [aut], Katrien Quintelier [aut], Annelies Emmaneel [aut], Britt Callebaut [aut], Yvan Saeys [aut]

Maintainer: Sofie Van Gassen <sofie.vangassen at ugent.be>

Citation (from within R, entercitation("FlowSOM")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("FlowSOM")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

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

browseVignettes("FlowSOM")
FlowSOMPDFR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsCellBasedAssays,CellBiology,Clustering,FlowCytometry,Software,Visualization
Version2.18.0
In Bioconductor sinceBioC 3.1 (R-3.2) (10.5 years)
LicenseGPL (>= 2)
DependsR (>= 4.0),igraph
Importsstats, utils,colorRamps,ConsensusClusterPlus,dplyr,flowCore,ggforce,ggnewscale,ggplot2,ggpubr, grDevices,magrittr, methods,rlang,Rtsne,tidyr,BiocGenerics,XML
System Requirements
URLhttp://www.r-project.orghttp://dambi.ugent.be
See More
SuggestsBiocStyle,testthat,CytoML,flowWorkspace,ggrepel,scattermore,pheatmap,ggpointdensity
Linking To
Enhances
Depends On Me
Imports MeCATALYST,diffcyt
Suggests MeHDCytoData
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageFlowSOM_2.18.0.tar.gz
Windows Binary (x86_64) FlowSOM_2.18.0.zip (64-bit only)
macOS Binary (x86_64)FlowSOM_2.18.0.tgz
macOS Binary (arm64)FlowSOM_2.18.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/FlowSOM
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/FlowSOM
Bioc Package Browserhttps://code.bioconductor.org/browse/FlowSOM/
Package Short Urlhttps://bioconductor.org/packages/FlowSOM/
Package Downloads ReportDownload Stats

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