Cargando…
Bioinformatics Analysis of Gene Expression Profiles for Risk Prediction in Patients with Septic Shock
BACKGROUND: Septic shock occurs when sepsis is associated with critically low blood pressure, and has a high mortality rate. This study aimed to undertake a bioinformatics analysis of gene expression profiles for risk prediction in septic shock. MATERIAL/METHODS: Two good quality datasets associated...
Autores principales: | Hu, Yingchun, Cheng, Lingxia, Zhong, Wu, Chen, Muhu, Zhang, Qian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scientific Literature, Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929537/ https://www.ncbi.nlm.nih.gov/pubmed/31838482 http://dx.doi.org/10.12659/MSM.918491 |
Ejemplares similares
-
Circulating Biomarkers for Predicting Infliximab Response in Rheumatoid Arthritis: A Systematic Bioinformatics Analysis
por: Huang, Qiu-lan, et al.
Publicado: (2017) -
Bioinformatics Analysis Identifies Hub Genes and Molecular Pathways Involved in Sepsis-Induced Myopathy
por: Ning, Yi-Le, et al.
Publicado: (2020) -
Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis
por: Hu, Shengqing, et al.
Publicado: (2018) -
Screening of Critical Genes and MicroRNAs in Blood Samples of Patients with Ruptured Intracranial Aneurysms by Bioinformatic Analysis of Gene Expression Data
por: Bo, Lijuan, et al.
Publicado: (2017) -
miR-18a Inhibitor Suppresses Leukemia Cell Proliferation by Upregulation of PTEN Expression
por: Zhang, Liping, et al.
Publicado: (2020)