Extended Data Fig. 8: Differential gene expression and cell-type composition.
From: Super-resolved spatial transcriptomics by deep data fusion
a,b, Differential gene expression, mouse olfactory bulb dataset. a, Annotation of the mitral cell layer (MCL). Percentages indicate area overlap with pixel annotation. b, Agreement with MCL marker reference list13 over different set sizes of genes predicted to be differentially expressed. Genes are ranked by the inverted coefficient of variation of their posterior log fold change (Super-resolved ST) or p-value (Seurat). Only genes with a predicted positive log fold change are shown. c–e, Cell-type composition, ductal carcinoma in situ (DCIS) dataset. c, Predicted cell types in each measurement location. Colors correspond to the score-weighted sums of the cell-type labels’ RGB coordinates. d, Measurement-level classification as a function of proximity to the tumor edge. Bar heights show classification scores across all measurement locations weighted by their overlap with each distance isoline. e, Pixel-level classification as a function of proximity to the tumor edge. Bar heights show classification scores based on the predicted expression for the pixel band at each distance. Red dashed line: Tumor edge. Black dotted line: 200 μm isoline.
