Riccardo Arnese

ESMRank: learning-to-rank prediction of missense variant effects from deep mutational scanning data.

This work shows that redundancy among partially overlapping deep mutational scanning experiments, often treated as noise, yields a consensus landscape of mutational constraint, and introduces "variant soundness", an overlap-aware rank-fusion score that uses cross-experiment consistency to derive an assay-agnostic order...