Attribution-based diagnostics for single-cell foundation models
A newly posted arXiv paper studies post-hoc attribution as a diagnostic for single-cell RNA foundation models, covering cell-type annotation with Cell2Sentence and scGPT and perturbation prediction with scGPT+STATE in a controlled setting. The authors report that findings hinge heavily on which biological reference, baseline and null model is chosen.