Identification of Senescence-Related Genes for the Prediction of Ulcerative Colitis Based on Interpretable Machine Learning Models
This integrated bioinformatics approach identified ABCB1 and LCN2 as significant biomarkers associated with cellular senescence. These findings enhance the understanding of cellular senescence in UC pathogenesis and propose its potential as a valuable diagnostic biomarker.
Authors
- Jingjing Ma (ORCID: https://orcid.org/0000-0002-4354-3692)
- Pengzhan He
- Weiguo Dong (ORCID: https://orcid.org/0000-0002-4228-6508)
- Chen Chen (ORCID: https://orcid.org/0000-0003-1765-8899)
- Yinghui Liu (ORCID: https://orcid.org/0000-0001-9255-3275)
- Nian Wang (ORCID: https://orcid.org/0000-0002-8303-0365)
- Ting Fang (ORCID: https://orcid.org/0000-0001-6034-6634)
Institutions
- Wuhan University (CN)
- Renmin Hospital of Wuhan University (CN)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2025-03-01
- DOI
- https://doi.org/10.2147/jir.s508396
- Citations
- 2
- Primary Topic
- Inflammatory Bowel Disease
- Type
- article
- Field-Weighted Citation Impact
- 3.63