Fig. 1
From: PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics
![Fig. 1](http://media.springernature.com/full/springer-static/image/art%3A10.1186%2Fs13059-021-02479-9/MediaObjects/13059_2021_2479_Fig1_HTML.png)
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