MOESM3 of scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data

Additional file 3: Table S4. Prediction results of pancreatic cells without Seurat alignment. Table S6. Prediction results using Baron dataset as reference. Table S7. Classification performance of scmap-cluster using the Baron dataset as training. Table S8. Classification performance of scmap-cell using the Baron dataset as training. Table S9. Classification performance of caSTLe using the Baron dataset as training. Table S10. Classification performance of singleCellNet using the Baron dataset as training. Table S11. Classification performance of scID using the Baron dataset as training. Table S14. Differentially expressed genes between unassigned cells by scPred and remaining cord blood-derived cells. Table S15. Gene ontology overrepresentation results of overexpressed genes from unassigned cells.