Article

Identification of Cuproptosis-Related Gene in Sepsis by Machine-Learning

2022-10-27

Abstract excerpt

Sepsis is a serious public issue that affects millions of people. Cuproptosis, a newly form of cell death, has been linked to the course of certain illnesses. Therefore, the goal of our study was to investigate clusters of sepsis associated with cuproptosis and to develop a prediction model. Using GSE33341 dataset, the expression profiles of immune- and cuproptosis-related genes (CRGs) in sepsis patients were exam...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b29b4afa-e8eb-5da2-afe1-71b937ae60f8
DOI: 10.21203/rs.3.rs-2195998/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Identification of Cuproptosis-Related Gene in Sepsis by Machine-LearningDOI 10.21203/rs.3.rs-2195998/v1Read

Cuproptosis-related gene signatures and immunological characterization in sepsis- associated acute lung injurySemantic proximity Read

Cuproptosis-Related Genes as Prognostic Biomarkers for Sepsis: Insights into Immune Function and Personalized ImmunotherapySemantic proximity Read

Identification of immune characteristic biomarkers and therapeutic targets in cuproptosis for sepsis by integrated bioinformatics analysis and single-cell RNA sequencing analysisSemantic proximity Read

Deciphering the molecular Classification of pediatric sepsis: Integrating WGCNA and Machine learning-based classification with immune signatures for the development of an advanced diagnostic modelSemantic proximity Read

Immunoassay and Drug prediction of Cuproptosis-related genes in Sepsis based on ssGSEASemantic proximity Read

Identification and experimental validation of cuproptosis regulatory program in a sepsis immune microenvironment through a combination of single-cell and bulk RNA sequencingSemantic proximity Read

Integrated bioinformatics and experiment validation reveal cuproptosis-related biomarkers and therapeutic targets in sepsis-induced myocardial dysfunctionSemantic proximity Read

Identification of Hub Genes and Key Pathways Associated with Sepsis Progression Using Weighted Gene Co-Expression Network Analysis and Machine LearningSemantic proximity Read

A comprehensive analysis of immune features and construction of an immune gene diagnostic model for sepsisSemantic proximity Read

Construction of gene network database, and identification of key genes for diagnosis, prognosis, and treatment in sepsisSemantic proximity Read

Comprehensive Analysis of Molecular Subtypes and Hub Genes of Sepsis by Gene Expression ProfilesSemantic proximity Read

Identification of immune-related endoplasmic reticulum stress genes in sepsis using bioinformatics and machine learningSemantic proximity Read