Evaluating ML & Foundation Models for Cell Typing Accuracy

Cellular dysregulation is linked to tissue damage in many diseases, and identifying cell types from RNA-seq data remains a challenge, especially for immune cells with overlapping gene expression. This white paper evaluates five machine learning and foundation models, highlighting their strengths in broad classification and limitations in resolving functional states, emphasizing careful interpretation in research.