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

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

From: Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients

Extended Data Fig. 4

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.

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