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[14] Dimensionality Reduction

January 14, 2026

[14] Dimensionality Reduction

[14] Dimensionality Reduction

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Dimensionality reduction helps reveal patterns in complex, high-dimensional single-cell data.

Reduction Algorithms

Learn when to use UMAP vs t-SNE for different types of data exploration.

Visualization

Create interactive 2D plots that reveal cell population structure and relationships.

Interpretation

Understand how to interpret dimensionality reduction plots and identify meaningful clusters.

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