1 citations · 1 across the 3 of their papers we have counts for
5 papers
Sparse group variable selection for gene-environment interactions in the longitudinal study
Fei Zhou, Xi Lu, Jie Ren +3
Penalized variable selection for high dimensional longitudinal data has received much attention as accounting for the correlation among repeated measurements and providing addition…
Identifying Gene-environment interactions with robust marginal Bayesian variable selection
Xi Lu, Kun Fan, Jie Ren +1
In high-throughput genetics studies, an important aim is to identify gene-environment interactions associated with the clinical outcomes. Recently, multiple marginal penalization m…
Robust Bayesian variable selection for gene-environment interactions
Jie Ren, Fei Zhou, Xiaoxi Li +3
Gene-environment (GE) interactions have important implications to elucidate the etiology of complex diseases beyond the main genetic and environmental effects. Outliers and…
Gene-Environment Interaction: A Variable Selection Perspective
Fei Zhou, Jie Ren, Xi Lu +2
Gene-environment interactions have important implications to elucidate the genetic basis of complex diseases beyond the joint function of multiple genetic factors and their interac…
Semi-parametric Bayesian variable selection for gene-environment interactions
Jie Ren, Fei Zhou, Xiaoxi Li +5
Many complex diseases are known to be affected by the interactions between genetic variants and environmental exposures beyond the main genetic and environmental effects. Study of…