CYANUS
CYANUS performs differential expression analysis of cytometry data at single-cell resolution to identify differences in cellular marker expression across conditions.
Key Features:
- Differential Expression Analysis: Identifies differences in marker expression between conditions in cytometry data without relying on simplified distributional assumptions.
- CyEMD (Cytometry Earth Mover’s Distance): Calculates the Earth Mover’s Distance between expression distributions to handle strong zero-inflation while reducing sensitivity to noise and overprediction.
- Integrated, Evaluated Methods: Integrates well-performing existing and novel methods identified through systematic evaluation on real and simulated CyTOF (Cytometry by Time-Of-Flight) data.
Scientific Applications:
- Immunology: Enables marker-level differential expression and discovery of cellular subpopulations relevant to immune phenotyping.
- Oncology: Supports identification of subtle cellular characteristics and marker changes associated with tumor biology and therapeutic response.
- Developmental Biology: Facilitates detection of differential marker expression across developmental states at single-cell resolution.
Methodology:
Computes Earth Mover’s Distance between expression distributions via CyEMD and performs systematic evaluation of existing and novel methods on real and simulated CyTOF data to address zero-inflation.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 12/31/2021
- Last Updated:
- 12/31/2021
Operations
Publications
Arend L, Bernett J, Manz Q, Klug M, Lazareva O, Baumbach J, Bongiovanni D, List M. A Systematic Comparison of Differential Analysis Methods for CyTOF Data. Unknown Journal. 2021. doi:10.1101/2021.08.09.455609.
Links
Repository
https://github.com/biomedbigdata/cyanus