Growth Hormone-Related Gene Signatures Reveal Diagnostic Biomarkers, Immune Landscapes, and Potential Therapeutic Targets in Sepsis Through WGCNA and Machine Learning Analyses.
- DOI
- 10.1002/iid3.70566
- Published
- 2026 Oct
- Container
- Immunity, inflammation and disease
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1002/iid3.70566,
title = {Growth Hormone-Related Gene Signatures Reveal Diagnostic Biomarkers, Immune Landscapes, and Potential Therapeutic Targets in Sepsis Through WGCNA and Machine Learning Analyses.},
author = {Li X and Liu A and Ding Y and Chen G and Zhang B},
year = {2026},
journal = {Immunity, inflammation and disease},
doi = {10.1002/iid3.70566},
url = {https://doi.org/10.1002/iid3.70566}
}RIS
TY - JOUR TI - Growth Hormone-Related Gene Signatures Reveal Diagnostic Biomarkers, Immune Landscapes, and Potential Therapeutic Targets in Sepsis Through WGCNA and Machine Learning Analyses. AU - Li X AU - Liu A AU - Ding Y AU - Chen G AU - Zhang B PY - 2026 JO - Immunity, inflammation and disease DO - 10.1002/iid3.70566 UR - https://doi.org/10.1002/iid3.70566 ER -
APA
X, L., A, L., Y, D., G, C., & B, Z. (2026). Growth Hormone-Related Gene Signatures Reveal Diagnostic Biomarkers, Immune Landscapes, and Potential Therapeutic Targets in Sepsis Through WGCNA and Machine Learning Analyses.. Immunity, inflammation and disease. https://doi.org/10.1002/iid3.70566
Source records
- pubmed · retrieved 2026-11-10T06:38:11.180Z