Transfer learning of multicellular organization via single-cell and spatial transcriptomics
Fig 4
Revealing the spatial pattern of the ftz gene from Drosophila embryo data using iSORT.
(a) Visualization of ftz’s spatial pattern in the original ST slice. (b) Visualization of ftz’s expression in the simulated coarse-grained ST reference, demonstrating the disruption of gene patterns in the low-resolution ST spots. (c) Visualization of ftz’s spatial pattern reconstructed from the scRNA-seq data by iSORT. Despite the fact that reference has lost the seven-stripe pattern, iSORT successfully restored the spatial distribution of the ftz seven stripes. (d) Reconstructed spatial patterns by scSpace, Tangram, novoSpaRc, and CeLEry. (e) Density plot contrasting the true (blue) and predicted (red) spatial locations of cells. The spatial density distribution of the iSORT reconstruction results is consistent with the ground truth. (f) Marginal densities for the true (blue) and predicted (red) spatial distributions of the ftz gene. The errors between the true and predicted densities are shown by the yellow line. The seven stripes along the x-axis are recovered by iSORT.