Identification of ITGB2, ELN, and KLRK1 as stress granule-related biomarkers of pterygium through integrated transcriptomic analysis and machine learning.
- DOI
- 10.1016/j.bbrc.2026.154275
- Published
- 2026 Sep 10
- Container
- Biochemical and biophysical research communications
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.bbrc.2026.154275,
title = {Identification of ITGB2, ELN, and KLRK1 as stress granule-related biomarkers of pterygium through integrated transcriptomic analysis and machine learning.},
author = {Cheng J and Wang D and Zhang Q and Wu J and Fan Y and Lyu Z and Gu J and Xiang J and Lyu N},
year = {2026},
journal = {Biochemical and biophysical research communications},
doi = {10.1016/j.bbrc.2026.154275},
url = {https://doi.org/10.1016/j.bbrc.2026.154275}
}RIS
TY - JOUR TI - Identification of ITGB2, ELN, and KLRK1 as stress granule-related biomarkers of pterygium through integrated transcriptomic analysis and machine learning. AU - Cheng J AU - Wang D AU - Zhang Q AU - Wu J AU - Fan Y AU - Lyu Z AU - Gu J AU - Xiang J AU - Lyu N PY - 2026 JO - Biochemical and biophysical research communications DO - 10.1016/j.bbrc.2026.154275 UR - https://doi.org/10.1016/j.bbrc.2026.154275 ER -
APA
J, C., D, W., Q, Z., J, W., Y, F., Z, L., J, G., J, X., & N, L. (2026). Identification of ITGB2, ELN, and KLRK1 as stress granule-related biomarkers of pterygium through integrated transcriptomic analysis and machine learning.. Biochemical and biophysical research communications. https://doi.org/10.1016/j.bbrc.2026.154275
Source records
- pubmed · retrieved 2026-09-26T22:07:37.278Z
- europe-pmc · retrieved 2026-09-26T22:07:37.292Z