DOI: 10.18129/B9.bioc.flowCyBar  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see flowCyBar.

Analyze flow cytometric data using gate information

Bioconductor version: 3.17

A package to analyze flow cytometric data using gate information to follow population/community dynamics

Author: Joachim Schumann <joachim.schumann at ufz.de>, Christin Koch <christin.koch at ufz.de>, Susanne Günther <susanne.guenther at ufz.de>, Ingo Fetzer <ingo.fetzer at stockholmresilience.su.se>, Susann Müller <susann.mueller at ufz.de>

Maintainer: Joachim Schumann <joachim.schumann at ufz.de>

Citation (from within R, enter citation("flowCyBar")):


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PDF R Script Analyze flow cytometric data using gate information
PDF   Reference Manual


biocViews CellBasedAssays, Clustering, FlowCytometry, ImmunoOncology, Software, Visualization
Version 1.36.0
In Bioconductor since BioC 2.14 (R-3.1) (9.5 years)
License GPL-2
Depends R (>= 3.0.0)
Imports gplots, vegan, methods
URL http://www.ufz.de/index.php?de=16773
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Source Package flowCyBar_1.36.0.tar.gz
Windows Binary flowCyBar_1.36.0.zip
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macOS Binary (arm64) flowCyBar_1.36.0.tgz
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Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/flowCyBar
Bioc Package Browser https://code.bioconductor.org/browse/flowCyBar/
Package Short Url https://bioconductor.org/packages/flowCyBar/
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