flowCyBar
Analyze flow cytometric data using gate information
Bioconductor version: 3.24 · Package version: 1.49.0
A package to analyze flow cytometric data using gate information to follow population/community dynamics
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("flowCyBar")Details
| Maintainer | Joachim Schumann <joachim.schumann@ufz.de> |
| Author | Joachim Schumann <joachim.schumann@ufz.de>, Christin Koch <christin.koch@ufz.de>, Susanne Günther <susanne.guenther@ufz.de>, Ingo Fetzer <ingo.fetzer@stockholmresilience.su.se>, Susann Müller <susann.mueller@ufz.de> |
| License | GPL-2 |
| URL | http://www.ufz.de/index.php?de=16773 |
| Downloads rank | 361 |
| Source branch | devel |
| biocViews | CellBasedAssays, Clustering, FlowCytometry, ImmunoOncology, Software, Visualization |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | flowCyBar_1.49.0.tar.gz |
| Windows binary (x86_64) | flowCyBar_1.49.0.zip |
| macOS binary (arm64) | flowCyBar_1.49.0.tgz |
| macOS binary (x86_64) | flowCyBar_1.49.0.tgz |