Package: flowCyBar 1.49.0

Joachim Schumann

flowCyBar: Analyze flow cytometric data using gate information

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

Authors:Joachim Schumann <[email protected]>, Christin Koch <[email protected]>, Susanne Günther <[email protected]>, Ingo Fetzer <[email protected]>, Susann Müller <[email protected]>

flowCyBar_1.49.0.tar.gz
flowCyBar_1.49.0.zip(r-4.7)flowCyBar_1.49.0.zip(r-4.6)flowCyBar_1.49.0.zip(r-4.5)
flowCyBar_1.49.0.tgz(r-4.6-any)flowCyBar_1.49.0.tgz(r-4.5-any)
flowCyBar_1.49.0.tar.gz(r-4.7-any)flowCyBar_1.49.0.tar.gz(r-4.6-any)
flowCyBar_1.49.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
flowCyBar/json (API)

# Install 'flowCyBar' in R:
install.packages('flowCyBar', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On BioConductor:flowCyBar-1.49.0(bioc 3.24)flowCyBar-1.48.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

immunooncologycellbasedassaysclusteringflowcytometrysoftwarevisualization

4.15 score 7 scripts 343 downloads 7 mentions 4 exports 13 dependencies

Last updated from:b73e2d412f. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR137
linux-devel-x86_64NOTE146
source / vignettesOK179
linux-release-x86_64NOTE210
macos-release-arm64NOTE104
macos-oldrel-arm64NOTE84
windows-develNOTE80
windows-releaseNOTE80
windows-oldrelNOTE92
wasm-releaseOK103

Exports:correlationcybar_plotnmdsnormalize

Dependencies:bitopscaToolsclustergplotsgtoolsKernSmoothlatticeMASSMatrixmgcvnlmepermutevegan

Analyze flow cytometric data using gate information

Rendered fromflowCyBar-manual.Rnwusingutils::Sweaveon May 30 2026.

Last update: 2014-12-08
Started: 2014-03-27

Readme and manuals

Help Manual

Help pageTopics
Analyze flow cytometric dataflowCyBar
Dataset with abiotic data and sample namesAbiotic_data_sample
Dataset with relative measured cell numbers and sample namesCell_number_sample
Dataset with correlation data and sample namesCorr_data_sample
Visualize the correlationcorrelation correlation,data.frame-method correlation,matrix-method
Barcode of the normalized cell numbers and boxplot of relative or percental cell numberscybar_plot cybar_plot,data.frame,data.frame-method cybar_plot,data.frame,matrix-method cybar_plot,data.frame,missing-method cybar_plot,matrix,data.frame-method cybar_plot,matrix,matrix-method cybar_plot,matrix,missing-method cybar_plot,missing,data.frame-method cybar_plot,missing,matrix-method
NMDS plot of cell numbersnmds nmds,data.frame-method nmds,matrix-method
Normalize cell numbersnormalize normalize,data.frame-method normalize,matrix-method