Extended Data Fig. 3: Specificity of our machine learning approach for identification of immature neurons in the macaque brain.

a, The fractions of cells with high similarity scores (pimGC ≥ 0.85) among excitatory dentate granule cell (GC), non-GC excitatory neuron, GABAergic interneuron, and non-neuronal cell clusters in various single-cell or single-nucleus RNA sequencing (scRNA-seq) datasets of the macaque hippocampus. Each dot represents data from one specimen from each study (noted by first author’s last name). Note that all imGCs identified reside in the GC clusters. b, No immature neurons were identified using our machine learning model in a scRNA-seq dataset of two 6-year macaque neocortex (one male and one female)42.