Package: CytoPipelineGUI 1.11.1

Philippe Hauchamps

CytoPipelineGUI: GUI's for visualization of flow cytometry data analysis pipelines

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.

Authors:Philippe Hauchamps [aut, cre], Laurent Gatto [aut], Dan Lin [ctb]

CytoPipelineGUI_1.11.1.tar.gz
CytoPipelineGUI_1.11.1.zip(r-4.7-any)CytoPipelineGUI_1.11.1.zip(r-4.6-any)CytoPipelineGUI_1.11.1.zip(r-4.5-any)
CytoPipelineGUI_1.11.1.tgz(r-4.6-any)CytoPipelineGUI_1.11.1.tgz(r-4.5-any)
CytoPipelineGUI_1.11.1.tar.gz(r-4.7-any)CytoPipelineGUI_1.11.1.tar.gz(r-4.6-any)
CytoPipelineGUI_1.11.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CytoPipelineGUI/json (API)

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

Bug tracker:https://github.com/uclouvain-cbio/cytopipelinegui/issues

Pkgdown/docs site:https://uclouvain-cbio.github.io

On BioConductor:CytoPipelineGUI-1.11.1(bioc 3.24)CytoPipelineGUI-1.10.0(bioc 3.23)

flowcytometrypreprocessingqualitycontrolworkflowstepimmunooncologysoftwarevisualizationguishinyapps

4.90 score 2 stars 3 scripts 350 downloads 6 exports 136 dependencies

Last updated from:91a110fa3a. Checks:8 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE164
linux-develNOTE338
source / vignettesOK254
linux-releaseNOTE388
macos-releaseNOTE186
macos-oldrelNOTE142
windows-develNOTE212
windows-releaseNOTE226
windows-oldrelNOTE144
wasm-releaseOK179

Exports:CytoPipelineCheckAppplotDiffFlowFrameplotScaleTransformedChannelplotSelectedFlowFrameplotSelectedWorkflowScaleTransformApp

Dependencies:abindaskpassbase64encBHBiobaseBiocFileCacheBiocGenericsbiocmakeBiocParallelbitbit64blobbslibcachemchangepointcirclizecliclueclustercodetoolscolorspacecommonmarkComplexHeatmapcpp11crayoncrosstalkcurlcytolibCytoPipelinedata.tableDBIdbplyrDelayedArraydiagramdigestdir.expirydoParalleldplyrevaluatefarverfastmapfilelockflowAIflowCoreflowWorkspacefontawesomeforeachformatRfsfutile.loggerfutile.optionsgenericsGetoptLongggcytoggplot2GlobalOptionsgluegraphgridExtragtablehexbinhighrhtmltoolshtmlwidgetshttpuvhttrhttr2IRangesisobanditeratorsjquerylibjsonliteknitrlabelinglambda.rlaterlatticelazyevallifecyclemagrittrMatrixMatrixGenericsmatrixStatsmemoisemimencdfFlowopensslotelPeacoQCpillarpkgconfigplotlyplyrpngpromisespurrrR6rappdirsRBGLRColorBrewerRcppreshape2RgraphvizRhdf5librjsonrlangrmarkdownRProtoBufLibRSQLiteS4ArraysS4VectorsS7sassscalesshapeshinysnowsourcetoolsSparseArraystringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunXMLxtableXVectoryamlzoo

CytoPipelineGUI : visualization of Flow Cytometry Data Analysis Pipelines run with CytoPipeline
Installation | Foreword - Preparation of pipeline results to be visualized | Introduction | Example dataset (more details in CytoPipeline vignette) | Example of pre-processing and QC pipelines (more details in CytoPipeline vignette) | Interactive visualizations | Visualizing pipeline runs at different steps | Visualization of scale transformations | Session information | References
Rendered fromCytoPipelineGUI.Rmdusingknitr::rmarkdown

Last update: 2026-01-14
Started: 2023-07-04

Demonstration of the CytoPipeline R package suite functionalities
Introduction | Background information | Illustrating dataset | Specifying the pipeline | Running the pipeline | Visualizing the results | Comparing pipelines | Example with two different QC methods | Visualizing scale transformations | Defining technical run parameters | Session information
Rendered fromDemo.Rmdusingknitr::rmarkdown

Last update: 2023-09-04
Started: 2023-09-04