A variational autoencoder trained with priors from canonical pathways increases the interpretability of transcriptome data.

When comparing lung adenocarcinoma vs healthy, the top MSigDB pathway, angiogenesis was extremely significant ( p < 10 −25 ), followed by proliferation-related pathways ( S8 Fig ).

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