A Systematic Comparison of Single-Cell Perturbation Response Prediction Models
Comprehensive benchmarking of 12 models + 3 baselines across 25 datasets with 24 evaluation metrics in 3 core prediction tasks.
Figure 1: Study overview showing datasets, perturbation types, and evaluation framework
Predict cellular responses to perturbations not seen during training, testing model generalization.
View ResultsPredict responses to combinations of perturbations, including interaction effects and synergy.
View ResultsTransfer learned perturbation effects across different cell types and experimental conditions.
View ResultsThis comprehensive evaluation provides the first systematic comparison of perturbation prediction models, establishing performance baselines and identifying key factors affecting model success in single-cell biology applications.
Datasets
Models Evaluated
Evaluation Metrics