Models (1)
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A supervised variational autoencoder that learns a unified, tissue-aware latent representation of bulk RNA-seq, compressing 16,115 genes into 121 dimensions across 42 tissues.
RNA
A supervised variational autoencoder that learns a unified, tissue-aware latent representation of bulk RNA-seq, compressing 16,115 genes into 121 dimensions across 42 tissues.