Open access
Sep 2026
Setting the SCENE for Interpretable Cell–Gene Embeddings in Single-Cell RNA-seq
Single-cell RNA sequencing measures cellular states at high resolution, but sparse high-dimensional count data remain difficult to model interpretably. We introduce the Single-Cell Euclidean Network Embedding (SCENE), a probabilistic latent-distance model that jointly embeds cells and genes from Unique Molecular Identi...
O. Møberg, M. Petersen, Tue Herlau et al.
· bioRxiv · 0 citations