Fig. 7: Brain inter-dataset evaluation.
From: Hierarchical progressive learning of cell identities in single-cell data
a–d UMAP embeddings of the datasets after alignment using Seurat v3. e Learned hierarchy when starting with the Saunders dataset and adding Zeisel with linear SVM. f Updated tree when the Tabula Muris dataset is added. g Confusion matrix when using the learned classification tree to predict the labels of Rosenberg. The dark boundaries indicate the hierarchy of the classification tree.
