12 citations · 25 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…
An integrative sparse boosting analysis of cancer genomic commonality and difference
Yifan Sun, Zhengyang Sun, Yu Jiang +2
In cancer research, high-throughput profiling has been extensively conducted. In recent studies, the integrative analysis of data on multiple cancer patient groups/subgroups has be…
Identification of cancer omics commonality and difference via community fusion
Yifan Sun, Yu Jiang, Yang Li +1
The analysis of cancer omics data is a "classic" problem, however, still remains challenging. Advancing from early studies that are mostly focused on a single type of cancer, some…
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…
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…
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…