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. 2023 Oct 9;20(11):1683–1692. doi: 10.1038/s41592-023-02035-2

Fig. 5. scPoli sample embeddings capture technical variation and can guide data integration workflows.

Fig. 5

a,b, Uniform manifold approximation and projections (UMAPs) of Schulte-Schrepping et al. dataset consisting of healthy and COVID-19 PBMC samples after sample-level integration. Cells are colored by cell type (a) and experiment (b), respectively. DC, dendritic cell. NK, natural killer cell. HSPC, hematopoietic stem and progenitor cell. CTL, cytotoxic T cell. TCM, central memory T cell. TEM, effector memory T cell. ILC, innate lymphoid cell. MAIT, mucosal-associated invariant T cell. cf, Sample embeddings obtained with scPoli colored by experiment (legend shared with b) (c), cohort (d) and disease (e on principal components 1 and 2 and f on principal components 2 and 3). For each covariate the association with the first and second PCs is displayed.