Improving cell-type composition inference in spatial transcriptomics with SpaDAMA
Fig 5
SpaDAMA shows strong performance in analyzing cell composition within the Zebrafish Embryo (ZE) dataset.
(A) Clustering of scRNA-seq data by cell types from the same tissue. (B) Cell composition predicted by SpaDAMA. (C) Marker genes selected corresponding to each cell type. (D) Gene expression levels of blf, followed by predicted Erythroid Lineage Cell proportions by SpaDAMA and other methods. (E) Expression levels of si:ch211-157c3.4, followed by predicted Periderm_krt17 proportions by SpaDAMA and other methods. (F) PCC and JSD scores for blf and Erythroid Lineage Cell proportions. (G) PCC and JSD scores for si:ch211-157c3.4 and Periderm_krt17 proportions.