cydar

Cydar is a computational tool for analyzing mass cytometry data to identify cellular populations that exhibit differential abundance between biological conditions. Mass cytometry enables high-dimensional single-cell analysis, but detecting changes in cell population abundances remains challenging. Cydar addresses this challenge through the following key features:

1. Cell assignment to hyperspheres: Cydar assigns cells to hyperspheres in high-dimensional space, which allows for the identification of cellular populations.

2. Testing for significant differences: The tool tests for significant differences in the abundance of cellular populations between different biological conditions.

3. Spatial false discovery rate control: Cydar employs a method to control the spatial false discovery rate, ensuring the reliability of the identified differentially abundant populations.

4. Improved performance: Compared to other approaches, Cydar demonstrates superior simulation performance, indicating its effectiveness in detecting differential abundance.

5. Novel pattern discovery: When applied to real data, Cydar can uncover novel differential abundance patterns that might be biologically relevant.