Structured cross-omics interaction discovery with a triple-graph model
- 1University of Maryland, College Park
Abstract
Multi-omics analyses often yield fragmented pairwise associations that obscure coordinated relationships among molecular features. We developed TriGer, a triple-graph framework that identifies many-to-many cross-omics modules by combining cross-layer associations with dependency structures within each layer. In simulations with sparse or nested signals, TriGer recovered planted modules while balancing sensitivity and specificity. In inflammatory bowel disease, it identified subtype-associated metabolite--transcript modules; in colorectal cancer, it identified genus--metabolite modules whose organization was attenuated in cancer. TriGer provides an interpretable approach for studying coordinated cross-omics structure in high-dimensional molecular data.
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BibTeX
@misc{j2026structured,
title = {{Structured cross-omics interaction discovery with a triple-graph model}},
author = {J. YU and H. Lin and S. Chen},
howpublished = {bioRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.10.749540},
url = {https://www.biorxiv.org/content/10.64898/2026.09.10.749540v1},
note = {CC BY},
}
RIS
TY - UNPB
TI - Structured cross-omics interaction discovery with a triple-graph model
AU - J. YU
AU - H. Lin
AU - S. Chen
PY - 2026
DA - 2026/09/10
PB - bioRxiv
DO - 10.64898/2026.09.10.749540
UR - https://www.biorxiv.org/content/10.64898/2026.09.10.749540v1
AB - Multi-omics analyses often yield fragmented pairwise associations that obscure coordinated relationships among molecular features. We developed TriGer, a triple-graph framework that identifies many-to-many cross-omics modules by combining cross-layer associations with dependency structures within each layer. In simulations with sparse or nested signals, TriGer recovered planted modules while balancing sensitivity and specificity. In inflammatory bowel disease, it identified subtype-associated metabolite--transcript modules; in colorectal cancer, it identified genus--metabolite modules whose organization was attenuated in cancer. TriGer provides an interpretable approach for studying coordinated cross-omics structure in high-dimensional molecular data.
ER -