Open access
Oct 2026
Explainable t-SNE for Single-Cell RNA-seq Data Analysis: A Cell-Driven Information Fusion Framework
Single-cell RNA sequencing fundamentally depends on defining cell–cell similarity to resolve distinct cell states. However, conventional dimensional-reduction frameworks such as t-SNE and UMAP inherently rely on Euclidean geometry, a construct ill-suited for high-dimensional, sparse count matrices, and produce cluster...
Henry Han, Tian-Yun Zhang, Lu-Yu Niu et al.
· bioRxiv · 0 citations