Fig. 1
From: PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics
A workflow of model-tuning strategies. A Traditional approaches split individual-level data into training and validation subsets to fine-tune prediction models. B Our method directly generates training and validation summary statistics without using individual-level information and use simulated summary statistics as input to select the best model