Exploring the Role of Different Cell-Death-Related Genes in Sepsis Diagnosis Using a Machine Learning Algorithm

Abstract excerpt

Sepsis, a disease caused by severe infection, has a high mortality rate. At present, there is a lack of reliable algorithmic models for biomarker mining and diagnostic model construction for sepsis. Programmed cell death (PCD) has been shown to play a vital role in disease occurrence and progression, and different PCD-related genes have the potential to be targeted for the treatment of sepsis. In this paper, we...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Machine Learning in Bioinformatics
• Share to S100 Proteins and Annexins
• Share to Sepsis Diagnosis and Treatment