Article
Analysis of novel biomarkers and immune cell alterations in sepsis based on single-cell sequencing and machine learning algorithms
2023-07-13
Abstract excerpt
We aim to investigate the changes of the immune milieu during sepsis and screen out novel biomarkers with favor diagnostic value using single-cell sequencing and machine learning algorithms. Two gene-chip datasets (GSE28750 and GSE95233) and two single-cell sequencing datasets (GSE167363 and GSE195965) were obtained from the GEO database. We used “ limma ” package in R software to screen out differentially express...
Topics
Open a Topic to create a Post that cites this publication.
- Adipokines, Inflammation, and Metabolic Diseases
- Immune Response and Inflammation
- Inflammation biomarkers and pathways
- Inflammatory Biomarkers in Disease Prognosis
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Pharmacological Effects of Natural Compounds
- Sepsis Diagnosis and Treatment
- Single-cell and spatial transcriptomics
Identifiers and source
- Literature Corpus work
- c2ed80eb-7d01-513d-af46-3a3cfe0e7b32
- DOI
- 10.21203/rs.3.rs-3139286/v1
