Inferring pathway activity from single-cell and spatial transcriptomics data with PaaSc
Fig 9
Performance evaluation of PaaSc on spatial transcriptomics data from human lung cancer.
(A) Spatial plot showing the tissue architecture of human lung cancer samples analyzed using CosMx SMI technology. (B) UMAP embedding showing the distribution of annotated cell types, including tumor cells, epithelial cells, endothelial cells, and 12 immune cell populations. (C) Box plot comparing the performance of PaaSc, CelliD, and GSDensity in distinguishing individual cell types using cell type-specific markers. Each point represents the AUC value for a specific cell type, with median values indicated. (D) Heatmap showing the correlation between pathway activity scores (rows) and cell type gene set scores (columns). The color intensity indicates the strength of positive (red) or negative (blue) correlations.