Pop-Corn preprint targets unseen-perturbation cell composition shifts in Perturb-seq
burny_tech · x · 2026-09-28
- A bioRxiv preprint from Yale, UPenn and Whitehead Institute introduces Pop-Corn, addressing a core challenge in pooled single-cell screens like Perturb-seq: predicting how unseen genetic perturbations shift the composition of cell types and states.
- The authors note most perturbation-prediction methods optimize average gene-expression responses and infer composition downstream; surprisingly, models accurate on average expression can still fail at predicting compositional shifts.
- Pop-Corn directly predicts composition changes across single-cell and spatial contexts, extending coverage to perturbations that can't be exhaustively tested experimentally.
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