An overview of the TripletCell pipeline for cell-type annotation. (A) The query and reference datasets are respectively projected into the cell-signature space using TripletCell-FE. (B) The cell embedding of the reference dataset is used to train a KNN classifier. Then, the types of query cells are predicted according to the predicted probability of the type generated by the KNN classifier for each query cell.