UVAE: Integration of Unpaired and Heterogeneous Clinical Flow Cytometry Data

UVAE: Integration of Unpaired and Heterogeneous Clinical Flow Cytometry Data This repository contains training data, metadata, and results for the above publication. 'data.zip' contains the subsampled flow cytometry data and clinical metadata for the lineage and chemokine panels. 'toy-data.zip' contains the synthetic data used for benchmarks and the associated source flow file. 'data-cycombine-comp.zip' contains the processed DFCI and van Gassen datasets used for model comparison. 'models-integration.zip' contains the trained UVAE models for lineage and chemokine panels, as well as imputed marker data. 'models-severity.zip' contains the trained COVID severity regression models, as well as their scores and gradient attribution plots. Note that 'models-integration' and 'models-severity' are trained on the entire CIRCO data (the severity models regression was performed on 4 held-out folds, but the initial integration and cluster definition were performed on the entire dataset). These are not the same as in the cross-validation section of the paper which shows test scores.