siVAE: interpretable deep generative models for single-cell transcriptomes
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Neural networks such as variational autoencoders (VAE) perform dimensionality reduction for the visualization and analysis of genomic data, but are limited in their interpretability: it is unknown which data features are represented by each embedding dimension... ...
