10 citations · 11 across the 6 of their papers we have counts for
6 papers
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…
Histopathological imaging features- versus molecular measurements-based cancer prognosis modeling
Sanguo Zhang, Yu Fan, Tingyan Zhong +1
For most if not all cancers, prognosis is of significant importance, and extensive modeling research has been conducted. With the genetic nature of cancer, in the past two decades,…
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…
A Robust Approach for Identifying Gene-Environment Interactions for Prognosis
Hao Chai, Qingzhao Zhang, Yu Jiang +3
For many complex diseases, prognosis is of essential importance. It has been shown that, beyond the main effects of genetic (G) and environmental (E) risk factors, the gene-environ…
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…