Skip to main content
Fig. 6 | Genome Biology

Fig. 6

From: MichiGAN: sampling from disentangled representations of single-cell data using generative adversarial networks

Fig. 6

Predicting single-cell gene expression effects of unseen drugs using MichiGAN. a UMAP plots of sci-Plex dataset colored by cell type (left) and treatment (right). b UMAP plots of the predicted (green), real (blue) and control (red) cells for 6 predictions of three missing cell type/drug combinations (A549-S1628, K562-S1096, and MCF7-S7259). c Random forest errors between MichiGAN and β-TCVAE for all combinations. MichiGAN was trained using mean representations (left) or representations sampled from the posterior distribution (right)

Back to article page