Extended Data Fig. 8 ∣. Predicting cell types based on gene expression.

Gene expression profiles of the 524 inhibitory neurons Scala et al. 2020 dataset were used to obtain 3-d representations without additional training of the coupled autoencoder trained on the Gouwens et al. dataset. QDA classifiers trained to predict cell types for the Gouwens et al. dataset were thereafter used to predict labels for the cells in the Scala et al. 2020 dataset. The contingency matrix comparing the predicted cell types and the cell types assigned by Scala et al. is shown. Overall accuracy of label prediction is 66%, with many inaccuracies being accounted for by closely related types.