Extended Data Fig. 4 |. Comparison of transferability of different machine learning models to patient-derived xenografts.

Predictive models were pre-trained using responses of cancer cell lines to perturbations with drugs, one model per drug. Few-shot learning was then performed on 0–10 PDX breast tumor samples exposed to that drug (x-axis), and model accuracy (y-axis) was measured by a, Pearson correlation or b, Spearman correlation on the remaining held-out PDX samples. Results averaged across five drugs (see main text). This experiment considers n = 228 PDX models.