Non-linear archetypal analysis of single-cell RNA-seq data by deep autoencoders
Fig 2
Performance of scAAnet and other methods on simulated scRNA-seq datasets.
(a) Results from datasets that were simulated under NB distributions. Figures from left to right are MSE between inferred cell usages and true usages of the 4 GEPs, Pearson correlation between inferred GEPs and true GEPs, and MSE between reconstructed scaled means and true means. (b) Similar results from datasets that were simulated under the ZINB distribution (λ = 0.3). Error bars around the means were drawn with 95% confidence interval. D.E.: differential expression.