2026
Refinement Contrastive Learning of Cell–Gene Associations for Unsupervised Cell Type Identification
AAAI 2026technical
Unsupervised cell type identification is crucial for uncovering and characterizing heterogeneous populations in single cell omics studies. Although a range of clustering methods have been developed, most focus exclusively on intrinsic cellular structure and ignore the pivotal role of cell-gene assoc