Explainable deep transfer learning model for disease risk prediction using high-dimensional genomic data
Fig 3
The comparisons of power under 5% significance level based on 5000 Monte Carlo simulations.
Linear (90%): 90% of genetic variants on the causal gene is predictive. Linear (10%): 10% of genetic variants on the causal gene is predictive. Interaction: pairwise interaction effects. Non-linear (cos): genetic variants on the causal gene affect the outcome through a cosine function.