"A variational autoencoder trained with priors from canonical pathways ..."

Bin Liu et al. (2024)

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DOI: 10.1371/JOURNAL.PCBI.1011198

access: open

type: Journal Article

metadata version: 2024-11-30

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Bin Liu, Bodo Rosenhahn, Thomas Illig, David S. DeLuca:
A variational autoencoder trained with priors from canonical pathways increases the interpretability of transcriptome data. PLoS Comput. Biol. 20(7): 1011198 (2024)

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