Package: CytoPipelineGUI 1.5.0

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_1.5.0.tar.gz
CytoPipelineGUI_1.5.0.zip(r-4.5)CytoPipelineGUI_1.5.0.zip(r-4.4)CytoPipelineGUI_1.3.0.zip(r-4.3)
CytoPipelineGUI_1.5.0.tgz(r-4.4-any)CytoPipelineGUI_1.3.0.tgz(r-4.3-any)
CytoPipelineGUI_1.5.0.tar.gz(r-4.5-noble)CytoPipelineGUI_1.5.0.tar.gz(r-4.4-noble)
CytoPipelineGUI_1.5.0.tgz(r-4.4-emscripten)CytoPipelineGUI_1.3.0.tgz(r-4.3-emscripten)
CytoPipelineGUI.pdf |CytoPipelineGUI.html
CytoPipelineGUI/json (API)
NEWS

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

Peer review:

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

On BioConductor:CytoPipelineGUI-1.5.0(bioc 3.21)CytoPipelineGUI-1.4.0(bioc 3.20)

flowcytometrypreprocessingqualitycontrolworkflowstepimmunooncologysoftwarevisualizationguishinyapps

4.85 score 2 scripts 110 downloads 6 exports 138 dependencies

Last updated 23 days agofrom:d7627a815c. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-winNOTENov 18 2024
R-4.5-linuxNOTENov 18 2024
R-4.4-winNOTENov 18 2024
R-4.4-macNOTENov 18 2024
R-4.3-winNOTESep 28 2024
R-4.3-macNOTESep 28 2024

Exports:CytoPipelineCheckAppplotDiffFlowFrameplotScaleTransformedChannelplotSelectedFlowFrameplotSelectedWorkflowScaleTransformApp

Dependencies:abindaskpassbase64encBHBiobaseBiocFileCacheBiocGenericsBiocParallelbitbit64blobbslibcachemchangepointcirclizecliclueclustercodetoolscolorspacecommonmarkComplexHeatmapcpp11crayoncrosstalkcurlcytolibCytoPipelinedata.tableDBIdbplyrDelayedArraydiagramdigestdoParalleldplyrevaluatefansifarverfastmapfilelockflowAIflowCoreflowWorkspacefontawesomeforeachformatRfsfutile.loggerfutile.optionsgenericsGetoptLongggcytoggplot2GlobalOptionsgluegraphgridExtragtablehexbinhighrhtmltoolshtmlwidgetshttpuvhttrIRangesisobanditeratorsjquerylibjsonliteknitrlabelinglambda.rlaterlatticelazyevallifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemunsellncdfFlownlmeopensslPeacoQCpillarpkgconfigplogrplotlyplyrpngpromisespurrrR6rappdirsRBGLRColorBrewerRcppreshape2RgraphvizRhdf5librjsonrlangrmarkdownRProtoBufLibRSQLiteS4ArraysS4VectorssassscalesshapeshinysnowsourcetoolsSparseArraystringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunXMLxtableXVectoryamlzlibbioczoo

CytoPipelineGUI : visualization of Flow Cytometry Data Analysis Pipelines run with CytoPipeline

Rendered fromCytoPipelineGUI.Rmdusingknitr::rmarkdownon Nov 18 2024.

Last update: 2023-09-05
Started: 2023-07-04

Demonstration of the CytoPipeline R package suite functionalities

Rendered fromDemo.Rmdusingknitr::rmarkdownon Nov 18 2024.

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