Fig. 3
From: Spatial transcriptomic interrogation of the murine bone marrow signaling landscape
Compositional deconvolution of spatial spots using scRNAseq. a UMAP of bone marrow scRNAseq datasets. b Probability that spatial spots contain MesLin cells. c Standard deviation (SD) of predictive values for each cell cluster within each spatial spot. Higher values denote greater variation in predictive values and a greater discernment of cell types within each spatial spot. d Pie chart showing the probability of each indicated cell type being assigned to each spatial region using the three indicated predictive packages. e Overlap between prediction methods (Seurat, CellTrek, and Cell2Location) of spatial spots proposed to contain MesLin cells. f Pie chart showing the probability of each indicated cell type being assigned to each spatial region using the combined predictive pipeline
