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stat.ME2025
Modeling Dependence in Omics Association Analysis via Structured Co-Expression Networks to Improve Power and Replicability
Hwiyoung Lee, Yezhi Pan, Shuo Chen
Accounting for dependence among high-dimensional variables in omics data analysis is critical to obtain accurate and reliable statistical inference. Although latent, omics variable…
stat.ML2025
Graph Canonical Correlation Analysis
Hongju Park, Shuyang Bai, Zhenyao Ye +3
Canonical correlation analysis (CCA) is a widely used technique for estimating associations between two sets of multi-dimensional variables. Recent advancements in CCA methods have…