Multi-kernel linear mixed model with adaptive lasso for prediction analysis on high-dimensional multi-omics data

摘要

Motivation: The use of human genome discoveries and other established factors to build an accurate risk prediction model is an essential step toward precision medicine. While multi-layer high-dimensional omics data provide unprecedented data resources for prediction studies, their corresponding analytical methods are much less developed.