Fig. 8.

Results obtained on the MCA datasets. a Boxplot showing the ARI values achieved by CCA, ComBat, PCA, MMDVAE followed by Harmony with dimension (256, 64), PCA followed by BBKNN, and PCA followed by Harmony. b Boxplot showing the ARI values achieved by the best AE for each of the tested dimension (H, L) of the hidden layer (H neurons) and latent space (L neurons). c UMAP visualisation of the cell-type manually annotated in the original paper. d UMAP visualisation of clusters identified by the Leiden algorithm using the resolution corresponding by the best ARI achieved by MMDVAE followed by Harmony. p-value $\le 0.0001$ (****); $0.0001<p$-value $\le 0.001$ (***); $0.001<p$-value $\le 0.01$ (**); $0.01<p$-value $\le 0.05$ (*); p-value $>0.05$ (ns)