tidyFlowCore

tidyFlowCore bridges flow cytometry analysis using the flowCore Bioconductor package with tidy data principles by providing dplyr-, ggplot2-, and tidyr-like verbs for flowFrame and flowSet objects while maintaining flowCore data structures under the abstraction layer.

Key Features:

• Tidyverse-compatible verbs: Provides dplyr-, ggplot2-, and tidyr-like verbs specifically designed for working with flowFrame and flowSet objects as if they were tibbles.
• Data structure preservation: Maintains flowCore data structures under the layer of abstraction rather than converting to tibbles.
• Ecosystem integration: Enables workflows that leverage both the Bioconductor and tidyverse ecosystems for cytometry data.

Scientific Applications:

• Flow cytometry data analysis: Streamlines analysis workflows for flow cytometry data using familiar tidyverse syntax while retaining flowCore functionality.

Methodology:

tidyFlowCore implements a layer of abstraction over flowCore data structures that allows flowFrame and flowSet objects to be manipulated with tidyverse-style verbs without converting the underlying data structures.