Showing 5 of total 5 results (show query)
bioc
CytoML:A GatingML Interface for Cross Platform Cytometry Data Sharing
Uses platform-specific implemenations of the GatingML2.0 standard to exchange gated cytometry data with other software platforms.
Maintained by Mike Jiang. Last updated 26 days ago.
immunooncologyflowcytometrydataimportdatarepresentationzlibopenblaslibxml2cpp
30 stars 7.60 score 132 scriptsbioc
CytoPipeline:Automation and visualization of flow cytometry data analysis pipelines
This package provides support for automation and visualization of flow cytometry data analysis pipelines. In the current state, the package focuses on the preprocessing and quality control part. The framework is based on two main S4 classes, i.e. CytoPipeline and CytoProcessingStep. The pipeline steps are linked to corresponding R functions - that are either provided in the CytoPipeline package itself, or exported from a third party package, or coded by the user her/himself. The processing steps need to be specified centrally and explicitly using either a json input file or through step by step creation of a CytoPipeline object with dedicated methods. After having run the pipeline, obtained results at all steps can be retrieved and visualized thanks to file caching (the running facility uses a BiocFileCache implementation). The package provides also specific visualization tools like pipeline workflow summary display, and 1D/2D comparison plots of obtained flowFrames at various steps of the pipeline.
Maintained by Philippe Hauchamps. Last updated 5 months ago.
flowcytometrypreprocessingqualitycontrolworkflowstepimmunooncologysoftwarevisualization
4 stars 6.71 score 18 scripts 2 dependentsbioc
CytoMDS:Low Dimensions projection of cytometry samples
This package implements a low dimensional visualization of a set of cytometry samples, in order to visually assess the 'distances' between them. This, in turn, can greatly help the user to identify quality issues like batch effects or outlier samples, and/or check the presence of potential sample clusters that might align with the exeprimental design. The CytoMDS algorithm combines, on the one hand, the concept of Earth Mover's Distance (EMD), a.k.a. Wasserstein metric and, on the other hand, the Multi Dimensional Scaling (MDS) algorithm for the low dimensional projection. Also, the package provides some diagnostic tools for both checking the quality of the MDS projection, as well as tools to help with the interpretation of the axes of the projection.
Maintained by Philippe Hauchamps. Last updated 2 months ago.
flowcytometryqualitycontroldimensionreductionmultidimensionalscalingsoftwarevisualization
1 stars 5.23 score 2 scriptsbioc
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.
Maintained by Philippe Hauchamps. Last updated 5 months ago.
flowcytometrypreprocessingqualitycontrolworkflowstepimmunooncologysoftwarevisualizationguishinyapps
4.70 score 2 scriptsbioc
flowGate:Interactive Cytometry Gating in R
flowGate adds an interactive Shiny app to allow manual GUI-based gating of flow cytometry data in R. Using flowGate, you can draw 1D and 2D span/rectangle gates, quadrant gates, and polygon gates on flow cytometry data by interactively drawing the gates on a plot of your data, rather than by specifying gate coordinates. This package is especially geared toward wet-lab cytometerists looking to take advantage of R for cytometry analysis, without necessarily having a lot of R experience.
Maintained by Andrew Wight. Last updated 5 months ago.
softwareworkflowstepflowcytometrypreprocessingimmunooncologydataimport
4.00 score 3 scripts