Interpretable machine learning applied to high-dimensional salivary proteomics in pediatric inflammatory bowel diseases.
- DOI
- 10.1093/ibd/izag181
- Published
- 2026 Nov 9
- Container
- Inflammatory bowel diseases
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/ibd/izag181,
title = {Interpretable machine learning applied to high-dimensional salivary proteomics in pediatric inflammatory bowel diseases.},
author = {Rupp BT and Reyna J and Giunta A and Weaver T and Chason K and Liu J and Gulati AS and Byrd KM},
year = {2026},
journal = {Inflammatory bowel diseases},
doi = {10.1093/ibd/izag181},
url = {https://doi.org/10.1093/ibd/izag181}
}RIS
TY - JOUR TI - Interpretable machine learning applied to high-dimensional salivary proteomics in pediatric inflammatory bowel diseases. AU - Rupp BT AU - Reyna J AU - Giunta A AU - Weaver T AU - Chason K AU - Liu J AU - Gulati AS AU - Byrd KM PY - 2026 JO - Inflammatory bowel diseases DO - 10.1093/ibd/izag181 UR - https://doi.org/10.1093/ibd/izag181 ER -
APA
BT, R., J, R., A, G., T, W., K, C., J, L., AS, G., & KM, B. (2026). Interpretable machine learning applied to high-dimensional salivary proteomics in pediatric inflammatory bowel diseases.. Inflammatory bowel diseases. https://doi.org/10.1093/ibd/izag181
Source records
- pubmed · retrieved 2026-11-10T09:29:55.057Z