Extended Data Fig. 6: Deep-learning based visualization speeds up t-SNE and FLE visualizations while maintaining comparable quality. | Nature Methods

Extended Data Fig. 6: Deep-learning based visualization speeds up t-SNE and FLE visualizations while maintaining comparable quality.

From: Cumulus provides cloud-based data analysis for large-scale single-cell and single-nucleus RNA-seq

Extended Data Fig. 6

Visualization of cell profiles (dots) from the full bone marrow data set (n = 274,182) colored by the same Louvain cluster membership (color; legend shows post hoc annotations) and laid out by (a) t-SNE (left), Net-tSNE (middle), or FIt-SNE (right); or (b) by FLE (left) or Net-FLE (right). Top: Execution time and kSIM acceptance rate.

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