1 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ME2015
Asymmetric Independence Model for Detecting Interactions between Variables
Guoqiang Yu, David J. Miller, Carl D. Langefeld +2
Detecting complex interactions among risk factors in case-control studies is a fundamental task in clinical and population research. However, though hypothesis testing using logist…
stat.ML2013★ 1 cited
A feasible roadmap for unsupervised deconvolution of two-source mixed gene expressions
Niya Wang, Eric P. Hoffman, Robert Clarke +7
Tissue heterogeneity is a major confounding factor in studying individual populations that cannot be resolved directly by global profiling. Experimental solutions to mitigate tissu…
q-bio.MN2013★ 1 cited
Knowledge-fused differential dependency network models for detecting significant rewiring in biological networks
Ye Tian, Bai Zhang, Eric P. Hoffman +6
Modeling biological networks serves as both a major goal and an effective tool of systems biology in studying mechanisms that orchestrate the activities of gene products in cells.…