Modeling Dependence in Omics Association Analysis via Structured Co-Expression Networks to Improve Power and Replicability
利用结构化共表达网络建模组学关联分析中的依赖性以提升检验功效与可重复性
Accounting for dependence among high-dimensional variables in omics data analysis is critical to obtain accurate and reliable statistical inference. Although latent, omics variables often exhibit structured correlation/co-expression patterns. However, there are few methods explicitly accounting for such structured dependence in the statistical analysis of omics data (e.g., differential expression analysis). To address this methodological gap, we propose a Co-expression…