Cargando…
Analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in pediatric sepsis by integrating bioinformatics and machine learning
BACKGROUND: Pediatric sepsis is a complicated condition characterized by life-threatening organ failure resulting from a dysregulated host response to infection in children. It is associated with high rates of morbidity and mortality, and rapid detection and administration of antimicrobials have bee...
Autores principales: | Zhang, Wen-Yuan, Chen, Zhong-Hua, An, Xiao-Xia, Li, Hui, Zhang, Hua-Lin, Wu, Shui-Jing, Guo, Yu-Qian, Zhang, Kai, Zeng, Cong-Li, Fang, Xiang-Ming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533616/ https://www.ncbi.nlm.nih.gov/pubmed/37115484 http://dx.doi.org/10.1007/s12519-023-00717-7 |
Ejemplares similares
-
Bioinformatic Analysis and Machine Learning Methods in Neonatal Sepsis: Identification of Biomarkers and Immune Infiltration
por: Jiang, Zhou, et al.
Publicado: (2023) -
Bioinformatic analysis and machine learning to identify the diagnostic biomarkers and immune infiltration in adenomyosis
por: Liu, Dan, et al.
Publicado: (2023) -
Identification of Potential Diagnostic Gene Targets for Pediatric Sepsis Based on Bioinformatics and Machine Learning
por: Qiao, Ying, et al.
Publicado: (2021) -
Lysosome-Related Diagnostic Biomarkers for Pediatric Sepsis Integrated by Machine Learning
por: Yang, Yang, et al.
Publicado: (2023) -
Bioinformatics identification and validation of biomarkers and infiltrating immune cells in endometriosis
por: Jiang, Hong, et al.
Publicado: (2022)