scVAEDer: integrating deep diffusion models and variational autoencoders for single-cell transcriptomics analysis
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Discovering a lower-dimensional embedding of single-cell data can improve downstream analysis. The embedding should encapsulate both the high-level features and low-level variations. While existing generative models attempt to learn such low-dimensional repres... ...
