Fig. 1From: scSemiAE: a deep model with semi-supervised learning for single-cell transcriptomicsFramework of scSemiAE. (1) Annotation: predicting cell type via a classifier and labeling partial cells with high confidence; (2) Pretraining: training an autoencoder with all cells; (3) Fine-tuning: adjusting the weights of encoder using labeled cellsBack to article page