Fig. 2
From: Benchmarking foundation cell models for post-perturbation RNA-seq prediction
Composition of standard benchmark datasets (A) Number of single cells (control/perturbed, colour code) in the four benchmark datasets. y axis is log10 scaled (B) Number of distinct perturbations in the four benchmark datasets (C) Correlation heatmaps for pseudo-bulk differential expression signatures for Adamson (left), and Replogle K562 (right) datasets. The black lines indicate the separation between training and test sets. Some samples (perturbations) are labelled on the x and y axes. D Distribution of pairwise Pearson correlations (y axis) of differential expression profiles for the benchmark datasets (x axis). E Comparison between median intra-dataset correlations (x axis) and Pearson Delta metrics difference between best and Train Mean models (y axis), colour coded by the benchmark dataset