tidytof

tidytof provides a tidy-data-oriented R interface for analysis of high-dimensional cytometry data to enable scalable, reproducible processing and integration with R workflows.

Key Features:

• Tidy Data Interface: Employs the tidy data paradigm so that each variable forms a column, each observation forms a row, and each type of observational unit forms a table to simplify data manipulation.
• Interoperability: Integrates with other R packages and workflows to enable consistent analysis across tools.
• Scalability: Supports processing and robust handling of large-scale high-dimensional cytometry datasets.
• Reproducibility: Structures analyses within a tidy framework to promote reproducible workflows.
• Algorithm Integration: Integrates established algorithms for cytometry data analysis within the tidy data framework.

Scientific Applications:

• Cellular heterogeneity analysis: Enables exploration of cellular heterogeneity from high-dimensional cytometry datasets.
• Immune profiling: Facilitates immune profiling analyses using cytometry data.
• High-dimensional cytometry workflows: Supports scalable and reproducible analysis workflows for bioinformatics studies involving high-dimensional cytometry.

Methodology:

Uses the tidy data paradigm and integrates established algorithms for cytometry data analysis within that framework, representing variables as columns, observations as rows, and observational units as tables.