Author

Ze-Lin Zang

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#machine learning Preprint May 2026

CellScientist: From Execution Feedback to Auditable Model-Revision Trajectories for Cellular Perturbation Prediction

This work presents CellScientist, a protocol-constrained workflow that converts execution and validation feedback into auditable model-revision trajectories, and produces both a selected predictor and an inspectable record of its development.

Meng-Ran Li, Bo Li, Jia-Yi Wang et al. · 0 citations

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