This is the released version of CytoPipelineGUI; for the devel version, see CytoPipelineGUI.
GUI's for visualization of flow cytometry data analysis pipelines
Bioconductor version: Release (3.22)
This package is the companion of the `CytoPipeline` package. It provides GUI's (shiny apps) for the visualization of flow cytometry data analysis pipelines that are run with `CytoPipeline`. Two shiny applications are provided, i.e. an interactive flow frame assessment and comparison tool and an interactive scale transformations visualization and adjustment tool.
Author: Philippe Hauchamps [aut, cre]
ORCID: 0000-0003-2865-1852
, Laurent Gatto [aut]
ORCID: 0000-0002-1520-2268
, Dan Lin [ctb]
Maintainer: Philippe Hauchamps <philippe.hauchamps at uclouvain.be>
citation("CytoPipelineGUI")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CytoPipelineGUI")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CytoPipelineGUI")| CytoPipelineGUI : visualization of Flow Cytometry Data Analysis Pipelines run with CytoPipeline | HTML | R Script |
| Demonstration of the CytoPipeline R package suite functionalities | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | FlowCytometry, GUI, ImmunoOncology, Preprocessing, QualityControl, ShinyApps, Software, Visualization, WorkflowStep |
| Version | 1.8.0 |
| In Bioconductor since | BioC 3.18 (R-4.3) (2.5 years) |
| License | GPL-3 |
| Depends | R (>= 4.4), CytoPipeline(>= 1.9.3) |
| Imports | shiny, plotly, ggplot2, flowCore |
| System Requirements | |
| URL | https://uclouvain-cbio.github.io/CytoPipelineGUI |
| Bug Reports | https://github.com/UCLouvain-CBIO/CytoPipelineGUI/issues |
See More
Package Archives
Follow Installation instructions to use this package in your R session.