pyInfinityFlow 0.1

Impute Flow Cytometry values between overlapping panels with XGBoost regression.

pyInfinityFlow

pyInfinityFlow is a Python package that enables imputation of hundreds of features from Flow Cytometry using XGBoost regression. It is an adaptation of the original implementation in R ¹ with the goal of optimizing the workflow for large datasets by increasing the speed and memory efficiency of the analysis pipeline.

The package includes tools to read and write FCS files, following the FCS3.1 file standard

Downstream analyses

Graphical Summary

Recommended Installation

Quickstart

Selected References

¹ Becht, E., Tolstrup, D., Dutertre, C. A., Morawski, P. A., Campbell, D. J., Ginhoux, F., ... & Headley, M. B. (2021). High-throughput single-cell quantification of hundreds of proteins using conventional flow cytometry and machine learning. Science advances, 7(39), eabg0505.