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Sampling-enabled scalable manifold learning unveils the discriminative cluster structure of high-dimensional data
  • Learning methods

Sampling-enabled scalable manifold learning unveils the discriminative cluster structure of high-dimensional data

admin September 13, 2025

Busch, E. L. et al. Multi-view manifold learning of human brain-state trajectories. Nat. Comput. Sci. 3, 240–253 (2023).Article  Google Scholar ...

Read MoreRead more about Sampling-enabled scalable manifold learning unveils the discriminative cluster structure of high-dimensional data
A comparative study of manifold learning methods for scRNA-seq with a trajectory-aware metric
  • Learning methods

A comparative study of manifold learning methods for scRNA-seq with a trajectory-aware metric

admin August 15, 2025

Qualitative comparison of embeddingsWe applied PCA, t-SNE, UMAP, and Diffusion Maps to three representative scRNA-seq datasets and visualized the resulting...

Read MoreRead more about A comparative study of manifold learning methods for scRNA-seq with a trajectory-aware metric

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