Single-cell RNA sequencing (scRNA-seq) has changed the way researchers study cells by allowing them to examine gene expression at the level of individual cells. This technology helps uncover subtle differences between cell types, identify rare cells, and track how cells change over time. However, the growing scale of scRNA-seq datasets makes it increasingly difficult to accurately and efficiently label or annotate these cell types, especially when researchers are working with complex tissues like the retina.
To solve this problem,…