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A variational autoencoder trained with priors from canonical pathways increases the interpretability of transcriptome data
Liu B,
Rosenhahn B,
Illig T,
DeLuca DS
(2024)
A variational autoencoder trained with priors from canonical pathways increases the interpretability of transcriptome data.
PLOS Computational Biology 20(7): e1011198.
https://doi.org/10.1371/journal.pcbi.1011198