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dimensionality_reduction_benchmark.zip (4.29 GB)

dimensionality_reduction_benchmark.zip

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modified on 2018-07-13, 03:19
Input data, scripts, intermediary results and raw graphs to reproduce our benchmark of dimensionality reduction techniques with a focus on single cell methods, comparing UMAP, t-SNE, scvis, FIt-SNE and PCA on single-cell RNA sequencing and mass-cytometry datasets.

Funding

A-STAR/SIgN core funding and A-STAR/SIgN immunomonitoring platform