GeoWaVe Cytometry Benchmark Data

<p>Contained within this folder are six benchmark datasets (Levine13, Levine32, Samusik, Sepsis, and PD) used for the evaluation of the GeoWaVe ensemble clustering algorithm, part of the cytocluster (https://github.com/burtonrj/CytoCluster) package.</p> <p>The data are compensated, arc-sine transformed, and debris and dead cells removed. See manuscript for details: https://doi.org/10.1101/2022.06.30.496829</p> <p>Each dataset is available as a CSV file and includes two additional columns: UMAP1 and UMAP2. The UMAP columns contain embeddings generated using UMAP (2 components and n_neighbours=30) and were used for visualisation purposes. The column &#39;population&#39; contains the original population labels generated using manual gating.</p>