flowViz

Visualization for flow cytometry

Bioconductor version: Release (3.17)

Provides visualization tools for flow cytometry data.

Author: B. Ellis, R. Gentleman, F. Hahne, N. Le Meur, D. Sarkar, M. Jiang

Maintainer: Mike Jiang <mike at ozette.com>

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

To install this package, start R (version "4.3") and enter:

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

BiocManager::install("flowViz")

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

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

browseVignettes("flowViz")

Visualizing Gates with Flow Cytometry Data	HTML	R Script
Reference Manual	PDF
NEWS	Text

biocViews	CellBasedAssays, FlowCytometry, ImmunoOncology, Infrastructure, Software, Visualization
Version	1.64.0
In Bioconductor since	BioC 2.0 (R-2.5) (16.5 years)
License	Artistic-2.0
Depends	R (>= 2.7.0), flowCore(>= 1.41.9), lattice
Imports	stats4, Biobase, flowCore, graphics, grDevices, grid, KernSmooth, lattice, latticeExtra, MASS, methods, RColorBrewer, stats, utils, hexbin, IDPmisc
Linking To
Suggests	colorspace, flowStats, knitr, rmarkdown, markdown, testthat
System Requirements
Enhances
URL

Depends On Me	flowFP, flowTrans, flowVS
Imports Me	flowDensity, flowStats, flowTrans, openCyto
Suggests Me	flowBeads, flowClean, flowCore, flowTime, ggcyto
Links To Me
Build Report

Follow Installation instructions to use this package in your R session.

Source Package	flowViz_1.64.0.tar.gz
Windows Binary	flowViz_1.64.0.zip
macOS Binary (x86_64)	flowViz_1.64.0.tgz
macOS Binary (arm64)	flowViz_1.64.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/flowViz
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/flowViz
Bioc Package Browser	https://code.bioconductor.org/browse/flowViz/
Package Short Url	https://bioconductor.org/packages/flowViz/
Package Downloads Report	Download Stats