crossrefInternational Journal of Molecular Sciences2025-05-07Cited by 3
Identification of Hub Genes and Key Pathways Associated with Sepsis Progression Using Weighted Gene Co-Expression Network Analysis and Machine Learning
Qinghui Sun, Hai-Li Zhang, Yichao Wang, Hao Xiu, Yufei Lu, Na He, et al.
Sepsis is a life-threatening condition driven by dysregulated immune responses, resulting in organ dysfunction and high mortality rates. Identifying key genes and pathways involved in sepsis progression is crucial for improving diagnostic and therapeutic strategies. This study an…