Understanding Gene Expression-to-Image Learning: Spatial Structure and Information Fidelity.

arXiv:2610.17699v1 Announce Type: new Abstract: Single-cell RNA sequencing (scRNA-seq) enables cell-level analysis of biological heterogeneity, but learning effective representations from high-dimensional, unordered gene expression profiles remains challenging