MOESM1 of scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data

Additional file 1: Figure S1. Expression of EPCAM, MLH1, and TFF3. Figure S2. Effect of the sequencing depth on prediction performance of gastric tumour cells. Figure S3. Effect of the number of cells on prediction performance of gastric tumour cells. Figure S4. Distribution of conditional class probabilities for single cells from the Baron test dataset across all four models.