Yi Archer Yang

This paper introduces ggmix, a penalized linear mixed model for SNP selection and population structure adjustment in high-dimensional genetic prediction models, showing improved accuracy and parsimony over existing methods.

The paper introduces ECLUST, a framework that improves predictive modeling in high-dimensional data by incorporating exposure-dependent clustering, showing better performance than traditional methods.