Cargando…
Identification of potential biomarkers of sepsis using bioinformatics analysis
Sepsis is defined as the systemic inflammatory response to infection and is one of the leading causes of mortality in critically ill patients. The goal of the present study is to elucidate the molecular mechanism of sepsis. Transcription profile data (GSE12624) were downloaded that had a total of 70...
Autores principales: | Yang, Yu-Xia, Li, Li |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5443301/ https://www.ncbi.nlm.nih.gov/pubmed/28565754 http://dx.doi.org/10.3892/etm.2017.4178 |
Ejemplares similares
-
Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics Analysis
por: Gong, Fang-Chen, et al.
Publicado: (2020) -
Identification of Potential Biomarkers of Platelet RNA in Glioblastoma by Bioinformatics Analysis
por: Chen, Xianjun, et al.
Publicado: (2022) -
Bioinformatic Analysis and Machine Learning Methods in Neonatal Sepsis: Identification of Biomarkers and Immune Infiltration
por: Jiang, Zhou, et al.
Publicado: (2023) -
Screening of Sepsis Biomarkers Based on Bioinformatics Data Analysis
por: Liang, Guibin, et al.
Publicado: (2022) -
Identification of key biomarkers in neonatal sepsis by integrated bioinformatics analysis and clinical validation
por: Yan, Rui, et al.
Publicado: (2022)