A Self-Supervised Learning Pipeline with Open-Set Detection and Quality Assessment for Embryonic Lineage Classification from scRNA-seq
Single-cell RNA sequencing enables high-resolution analysis of early embryonic lineage specification, but most computational pipelines reduce the task to closed-set TE/ICM classification and discard uncertain cells before training. This practice can inflate apparent accuracy while removing the cells most relevant for t...