Pavlin G. Poličar

velotest assesses RNA velocity embeddings' faithfulness to high-dimensional data, revealing quality differences across methods and datasets.

openTSNE is a Python library for t-SNE dimensionality reduction that is faster than existing implementations and supports mapping new data to existing embeddings.

The paper proposes a method to reduce batch effects in single-cell data by embedding new data into a t-SNE visualization of a reference dataset, improving co-clustering of cells from different datasets.