Fig. 3: Additional benchmarks using genome-scale Perturb-seq and ECCITE-seq.
From: Decoding heterogeneous single-cell perturbation responses
a, Benchmark procedure using a genome-scale Perturb-seq and a published, pooled T cell CRISPR screen. b, The distribution of unstimulated and stimulated Jurkat cells along the UMAP plot. c, The correlation of predicted cumulative scores by PS and mixscape. The cumulative score of each gene is the sum of scores of that gene across all cells, and measures the relative contribution of perturbing each gene on affecting T cell stimulation. Positive and negative genes, identified from a published, genome-scale CRISPR screen on stimulated T cells28, are marked in cyan and red, respectively. d, the ROC curve of both methods in separating positive and negative hits. e,f, Benchmark using a published ECCITE-seq where PDL1 protein expression is used as gold standard (e), and the performance of different methods in terms of predicting PDL1 protein expression (f). In f, red gene names indicate known PDL1 regulators. Source numerical data are available in the source data.
