Analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in pediatric sepsis by integrating bioinformatics and machine learning

Zhang, W.-Y., Chen, Z.-H., An, X.-X., Li, H., Zhang, H.-L., Wu, S.-J., Guo, Y.-Q., Zhang, K., Zeng, C.-L., & Fang, X.-M. (2023). Analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in pediatric sepsis by integrating bioinformatics and machine learning. World Journal of Pediatrics, 19(11), 1094–1103. https://doi.org/10.1007/s12519-023-00717-7
Authors:
Wen-Yuan Zhang
Zhong-Hua Chen
Xiao-Xia An
Hui Li
Hua-Lin Zhang
Shui-Jing Wu
Yu-Qian Guo
Kai Zhang
Cong-Li Zeng
Xiang-Ming Fang
Affiliated Authors:
Cong-Li Zeng
Columbia Affiliation:
Subjects:
Matrix Metalloproteinase 8 (MeSH)
Sepsis (MeSH)
Author Keywords:
bioinformatics
biomarkers
immune cell infiltration
machine-learning
paediatric sepsis
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Publication Type:
Article
Unique ID:
10.1007/s12519-023-00717-7
PMID:
37115484
DOI:
10.1007/s12519-023-00717-7
Journal:
World Journal of Pediatrics
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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Record Created: