Enzo Ferrante

This study evaluates scRNA-seq foundation models for plant perturbation response prediction, finding that performance varies significantly with evaluation protocol and that preserving gene identity improves generalization.

This paper benchmarks large language models in plant molecular biology using a new dataset, finding strong performance on multiple-choice questions but limitations in factual accuracy and self-awareness.