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stat.ME2025
CoMMiT: Co-informed inference of microbiome-metabolome interactions via transfer learning
Leiyue Li, Chenglong Ye, Tim Randolph +5
Recent multi-omic microbiome studies enable integrative analysis of microbes and metabolites, uncovering their associations with various host conditions. Such analyses require mult…
stat.ME2023
Variable selection with FDR control for noisy data -- an application to screening metabolites that are associated with breast and colorectal cancer
Runqiu Wang, Ran Dai, Ying Huang +5
The rapidly expanding field of metabolomics presents an invaluable resource for understanding the associations between metabolites and various diseases. However, the high dimension…