Figure - available from: Frontiers in Medicine
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Distributions of metrics measured for different machine learning models. Three theoretical forms of epistasis and their corresponding datasets were generated using GAMETES (LR, Lasso regression; GB, Gradient Boosting).
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Background
Polygenic risk score (PRS) prediction is widely used to assess the risk of diagnosis and progression of many diseases. Routinely, the weights of individual SNPs are estimated by the linear regression model that assumes independent and linear contribution of each SNP to the phenotype. However, for complex multifactorial diseases such as A...
