Dataset structure outweighs method choice in single-cell cell-type annotation
Automated cell-type annotation is a prerequisite for nearly all single-cell RNA-sequencing (scRNA-seq) analysis, and the proliferation of annotation tools — spanning marker-based, similarity-based, classical machine-learning, deep-learning, semi-supervised, large language model (LLM), and transformer foundation-model f...