Extended Data Fig. 2: Effects of covariates on model performance across datasets.
From: Benchmarking algorithms for generalizable single-cell perturbation response prediction
(a) For each of the 12 benchmark datasets, we evaluated the impact of covariates—including cellular context, perturbation, and model (method)—on prediction performance using ANOVA based on ordinary least squares (OLS) regression. In datasets containing only a single perturbation condition (KangCrossCell, CrossSpecies, KangCrossPatient and TCDD), only cellular context and model were included as covariates. For the remaining datasets, perturbation identity was additionally included as a third covariate.
