Open access
Oct 2026
Identification and validation of biomarkers related to oxidative stress in pediatric sepsis utilizing WGCNA and multiple machine learning algorithms
Six hub genes, namely, GADD45A, HP, MAPK14, PGD, RETN, and S100A9, were identified as having significant diagnostic potential and validated with area under the curve (AUC) values between 0.908 and 0.982, showing their promising diagnostic performance.
Yu-Meng Liu, Gang Luo
· Frontiers in Bioinformatics · 0 citations