Extended Data Fig. 1: Mapping results on Visium data are consistent across three datasets.
From: Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram
a. Consistent probabilistic maps across models trained from replicate datasets. Probability of mapping (color bar) of each cell subset (gray label) from each of 3 major categories in models trained separately from three Visium sections (rows). Section I is the same shown in Fig. 3b. b,c. Consistent deconvolution across models trained from replicate datasets. b. Fraction of cells (y axis) of each cell type (x axis) obtained after deconvolution with models trained separately by each of three Visium sections and in snRNA-seq. c. Predicted single cells (colored dots, legend) in each Visium voxel (grey circle) based on snRNA-seq data mapped onto Visium section 2 (left) and section 3 (right) (compare to Fig. 3b). Cell assignment within a voxel is random with respect to the specific segmented cell.
