Identification of potential biomarkers for nonsurvivor sepsis patients via microarray technology: A study based on GEO datasets

Identification of potential biomarkers for nonsurvivor sepsis patients via microarray technology: A study based on GEO datasets

Background : The mechanism of sepsis especially non-survivors has not yet been identified. Objective : To identify the key genes concerned with non-survivor sepsis (NSS) and analyze its molecular mechanism. Methods : The original data were obtained from the GEO database to screen deferentially expre...

Full description

Bibliographic Details
Main Authors:	Yan Ma, Shichao Shan, Cheng Luo, Jianlan Mo, Zhaokun Hu, Ren Jing
Format:	Article
Language:	English
Published:	SAGE Publishing 2023-09-01
Series:	European Journal of Inflammation
Online Access:	https://doi.org/10.1177/1721727X231202661

Similar Items

Identification of potential biomarkers and immune infiltration in pediatric sepsis multiple-microarray analysis
by: Yinhui Yao, et al.
Published: (2022-12-01)

Comparative study of survivor and nonsurvivor sepsis patients in a university hospital Estudo comparativo de pacientes sobreviventes e não sobreviventes com sepse em um hospital universitário
by: Aline Pâmela Vieira de Oliveira, et al.
Published: (2008-02-01)

Biomarker identification based on gene microarray data
by: Neo, Jun Xiong
Published: (2012)

Identification of Potential Risk Genes and the Immune Landscape of Idiopathic Pulmonary Arterial Hypertension via Microarray Gene Expression Dataset Reanalysis
by: Jing Xu, et al.
Published: (2021-01-01)

Classification Of Microarray Datasets Using Random Forest
by: Ng, Ee Ling
Published: (2009)

Data Mining of Microarray Datasets in Translational Neuroscience
by: Lance M. O’Connor, et al.
Published: (2023-09-01)

Evaluation of FGFR1 as a diagnostic biomarker for ovarian cancer using TCGA and GEO datasets
by: Huiting Xiao, et al.
Published: (2021-02-01)

Identification and Validation of Novel Diagnostic Biomarkers for Keloid Based on GEO Database
by: Nurzati Y, et al.
Published: (2022-01-01)

Screening of immunotherapy-related genes in bladder cancer based on GEO datasets
by: Xiaolong Liu, et al.
Published: (2023-05-01)

Ensemble Classifier Based on Interval Modeling for Microarray Datasets
by: Urszula Bentkowska, et al.
Published: (2024-03-01)

Integrated analysis of lymphocyte infiltration-associated lncRNA for ovarian cancer via TCGA, GTEx and GEO datasets
by: Meijing Wu, et al.
Published: (2020-05-01)

Biomarkers of Sepsis
by: Luisa Agnello, et al.
Published: (2023-01-01)

Identification and validation of key biomarkers based on RNA methylation genes in sepsis
by: Qianqian Zhang, et al.
Published: (2023-08-01)

Identification of novel biomarkers and small molecule drugs in human colorectal cancer by microarray and bioinformatics analysis
by: Juan Chen, et al.
Published: (2019-07-01)

Identification of Potential microRNA Panels for Male Non-Small Cell Lung Cancer Identification Using Microarray Datasets and Bioinformatics Methods
by: Antonia Haranguș, et al.
Published: (2022-12-01)

Identification and experimental validation of mitochondria-related genes biomarkers associated with immune infiltration for sepsis
by: Qi Shu, et al.
Published: (2023-05-01)

Bioinformatic Analysis and Machine Learning Methods in Neonatal Sepsis: Identification of Biomarkers and Immune Infiltration
by: Zhou Jiang, et al.
Published: (2023-06-01)

Constructing gene network from microarray dataset using Bayesian network /
by: 414925 Yee, Yann Mey, et al.
Published: (2006)

Deep learning based framework for cancer classification using microarray datasets /
by: Nashat Ali Mohammad Alrefai, 1978-, author 649266, et al.
Published: (2023)

Identification of circRNA-miRNA-mRNA network in luminal breast cancers by integrated analysis of microarray datasets
by: Yixiang Huang, et al.
Published: (2023-04-01)

Pentraxin-3 Is a Strong Biomarker of Sepsis Severity Identification and Predictor of 90-Day Mortality in Intensive Care Units via Sepsis 3.0 Definitions
by: Huan Chen, et al.
Published: (2021-10-01)

Identification of oncogenes and tumor-suppressor genes with hepatocellular carcinoma: A comprehensive analysis based on TCGA and GEO datasets
by: Yue Zhu, et al.
Published: (2023-01-01)

Identification of potential diagnostic and prognostic biomarkers for sepsis based on machine learning
by: Li Ke, et al.
Published: (2023-01-01)

Identification and verification of feature biomarkers associated with immune cells in neonatal sepsis
by: Weiqiang Liao, et al.
Published: (2023-02-01)

Identification of biomarkers and the mechanisms of multiple trauma complicated with sepsis using metabolomics
by: Ke Feng, et al.
Published: (2022-08-01)

Identification of Differentially-expressed Genes in Intestinal Gastric Cancer by Microarray Analysis
by: Shizhu Zang, et al.
Published: (2014-12-01)

Identifying the potential transcriptional regulatory network in Hirschsprung disease by integrated analysis of microarray datasets
by: Yong Liu, et al.
Published: (2023-04-01)

Multiple biomarker tissue microarrays: bioinformatics and practical approaches.
by: Bentzen, S, et al.
Published: (2008)

Microarrays in diagnostics and biomarker development : current and future applications /
by: Jordan, Bertrand
Published: (c201)

Research Progress of Biomarkers of Sepsis-Associated Encephalopathy
by: ChengXin Tang, et al.
Published: (2023-01-01)

Identification of Prognostic Biomarkers by Combined mRNA and miRNA Expression Microarray Analysis in Pancreatic Cancer
by: Bin Liu, et al.
Published: (2018-06-01)

Identification of new biomarkers and immune infiltration characteristics of sepsis in very low birth weight infants
by: Yujia Luo, et al.
Published: (2023-09-01)

Early Identification of Serum Biomarkers and Pathways of Sepsis Through GC-MS-Based Metabolomics Analysis
by: Cheng Chen, et al.
Published: (2023-07-01)

Neonatal sepsis registry: Time to antibiotic dataset
by: Svetlana Ostapenko, et al.
Published: (2019-12-01)

Key issues in conducting a meta-analysis of gene expression microarray datasets.
by: Ramasamy, A, et al.
Published: (2008)

Key issues in conducting a meta-analysis of gene expression microarray datasets.
by: Ramasamy, A, et al.
Published: (2008)

An integrated framework based deep learning for cancer classification using microarray datasets.
by: Alrefai, Nashat, et al.
Published: (2023)

High Performance Classification of Cancer Types with Gene Microarray Datasets: Hybrid Approach
by: Yılmaz ATAY, et al.
Published: (2021-12-01)

Microarray dataset of Jurkat cells following miR-93 over-expression
by: Silvia Gioiosa, et al.
Published: (2016-09-01)

Microarray dataset of after-ripening induced mRNA oxidation in wheat seeds
by: Feng Gao, et al.
Published: (2018-12-01)