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Fig. 4 | Genome Biology

Fig. 4

From: scVAEDer: integrating deep diffusion models and variational autoencoders for single-cell transcriptomics analysis

Fig. 4

scVAEDer is more accurate than the SOTA methods in predicting perturbation responses. a Data generation using latent prior of DDM with 1000 diffusion steps. b Comparison of the correlation values of average gene expression between real and predicted cells of various cell types obtained using scGen, scPreGAN, and scVAEDer. c Violin plots for selected key genes across control, real stimulated, and stimulation predicted by scVAEDer and scGen in dendritic cells (DC)

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Genome Biology

ISSN: 1474-760X

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