Fig. 7: A comparison of differential gene expression analysis and our SSES metric across donors for submucosal gland and arterial calcification proportion. | Nature Communications

Fig. 7: A comparison of differential gene expression analysis and our SSES metric across donors for submucosal gland and arterial calcification proportion.

From: Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types

Fig. 7

A, D Esophagus mucosa and tibial artery histology images from GTEx. B, E Differential expression analysis volcano plot for submucosal gland and arterial calcification proportions (x-axis: linear model coefficient, y-axis: -Log10 two-sided adjusted p-value from t-test after FDR1% correction). Blue corresponds to significantly differentially expressed, downregulated genes, and red corresponds to significantly differentially expressed, upregulated genes. C, F Considering genes with a positive coefficient (up-regulated), we see that our SSES metric when applied to RNAPath predictions is able to find genes (e.g. AZGP1 and CRTAC1) that are both significant in DE analysis, but are also highly spatially restricted to submucosal glands and calcification foci, respectively.

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