10 citations · 11 across the 6 of their papers we have counts for
4 papers · 1 filter
Biomarker-guided heterogeneity analysis of genetic regulations via multivariate sparse fusion
Sanguo Zhang, Xiaonan Hu, Ziye Luo +3
Heterogeneity is a hallmark of many complex diseases. There are multiple ways of defining heterogeneity, among which the heterogeneity in genetic regulations, for example GEs (gene…
Identifying Gene-Environment Interactions with A Least Relative Error Approach
Yangguang Zang, Yinjun Zhao, Qingzhao Zhang +3
For complex diseases, the interactions between genetic and environmental risk factors can have important implications beyond the main effects. Many of the existing interaction anal…
Promoting Similarity of Sparsity Structures in Integrative Analysis with Penalization
Yuan Huang, Qingzhao Zhang, Sanguo Zhang +2
For data with high-dimensional covariates but small to moderate sample sizes, the analysis of single datasets often generates unsatisfactory results. The integrative analysis of mu…
Penalized integrative analysis under the accelerated failure time model
Qingzhao Zhang, Sanguo Zhang, Jin Liu +2
For survival data with high-dimensional covariates, results generated in the analysis of a single dataset are often unsatisfactory because of the small sample size. Integrative ana…