Poly-omic risk scores predict inflammatory bowel disease diagnosis
Christopher H. Arehart, John D. Sterrett, Rosanna L. Garris, Ruth E. Quispe-Pilco, Christopher R. Gignoux, Luke M. Evans, Maggie A. Stanislawski
The paper develops a multi-omic prediction framework to diagnose IBD using metagenomic, metatranscriptomic, metabolomic, and viromic data, finding that metabolomics and viromics provide stronger predictive power than other omics.
mSystems · Dec 14, 2023Peer-reviewedBioinformatics