Cargando…
Multiple datasets to explore the molecular mechanism of sepsis
BACKGROUND: This study aimed to identify potential biomarkers, by means of bioinformatics, affecting the occurrence and development of septic shock. METHODS: Download GSE131761 septic shock data set from NCBI geo database, including 33 control samples and 81 septic shock samples. GSE131761 and seque...
Autores principales: | Lin, Shuang, Luo, Bin, Ma, Junqi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380322/ https://www.ncbi.nlm.nih.gov/pubmed/35971090 http://dx.doi.org/10.1186/s12863-022-01078-2 |
Ejemplares similares
-
The use of multiple datasets to identify autophagy-related molecular mechanisms in intracerebral hemorrhage
por: Xiao, Yinggang, et al.
Publicado: (2023) -
Molecular mechanisms in the pathogenesis of sepsis
por: Pop-Began, V, et al.
Publicado: (2014) -
Identification of hub genes and potential molecular mechanisms related to radiotherapy sensitivity in rectal cancer based on multiple datasets
por: Zhao, Pengfei, et al.
Publicado: (2023) -
Construction of an HLA Classifier for Early Diagnosis, Prognosis, and Recognition of Immunosuppression in Sepsis by Multiple Transcriptome Datasets
por: Chen, Zhen, et al.
Publicado: (2022) -
Neonatal sepsis registry: Time to antibiotic dataset
por: Ostapenko, Svetlana, et al.
Publicado: (2019)