A variational autoencoder trained with priors from canonical pathways increases the interpretability of transcriptome data
Fig 6
Differential latent space analysis of adenocarcinoma vs small cell lung cancer.
Heatmaps show latent values pathways defined by A: MSigDB and B: KEGG. C and D show the top differentially expressed latent variables based on the p-values for MSigDB and KEGG respectively.