Pavlin G. Poličar

velotest: Statistical assessment of RNA velocity embeddings reveals quality differences for reliable trajectory visualizations

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

openTSNE: a modular Python library for t-SNE dimensionality reduction and embedding

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

Embedding to Reference t-SNE Space Addresses Batch Effects in Single-Cell Classification

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.