Author

Ruizhe Wang

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Preprint Aug 2026

DMT-Dens: Density-preserving manifold visualization for biological data

DMT-Dens is a parametric manifold-visualization method built on a latent-token Transformer encoder that optimizes a loss based on the Pearson correlation between k-nearest-neighbor log-radius estimates in the processed input and two-dimensional embedding spaces to preserve density.

Ruizhe Wang, Yi-Xuan Dong, Bolin Yang et al. · 0 citations