Back to search

Article

Oxidative stress-related genes as diagnostic markers for endometriosis and their associated immunoassays

2024-11-21

Abstract excerpt

<title>Abstract</title> <p>Purpose Endometriosis (EMT) affects millions of women worldwide and is closely associated with the body's response to oxidative stress. The role of oxidative stress markers in the diagnosis and treatment of endometriosis is a potentially fruitful avenue of research. Methods In this study, we employed a machine learning approach to model and screen key biomarkers, integrating five inde...

Topics

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

Identifiers and source

Literature Corpus work
b9928946-474e-5178-aadc-609acaa3946f
DOI
10.21203/rs.3.rs-5483387/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Oxidative stress-related genes as diagnostic markers for endometriosis and their associated immunoassaysDOI 10.21203/rs.3.rs-5483387/v1
Machine Learning Algorithms for a Novel Cuproptosis-related Gene Signature of Diagnostic and Immune Infiltration in EndometriosisSemantic proximity
Identification of key immune genes of endometriosis based on bioinformatics and machine learningSemantic proximity
Bioinformatics identification and validation of biomarkers and infiltrating immune cells in endometriosisSemantic proximity
Integrated bioinformatics analysis uncovers characteristic genes and molecular subtyping system for endometriosisSemantic proximity
Gene expression analysis in endometriosis: Immunopathology insights, transcription factors and therapeutic targetsSemantic proximity
Identification of oxidative stress-related diagnostic marker genes and immune landscape in interstitial cystitis by bioinformatics and machine learningSemantic proximity
Identification and validation of an endoplasmic-reticulum-stress-related gene signature as an effective diagnostic marker of endometriosisSemantic proximity
Bioinformatical Enrichment Analysis Reveals Key Differentially Expressed Genes in Endometriosis PathogenesisSemantic proximity
Establishment of a novel glycolysis-immune-related diagnosis gene signature for endometriosis by machine learningSemantic proximity
Identification of potential diagnostic biomarkers and therapeutic targets for endometriosis based on bioinformatics and machine learning analysisSemantic proximity
Unraveling shared diagnostic genes and cellular microenvironmental changes in endometriosis and recurrent implantation failure through multi-omics analysisSemantic proximity
Identification and analysis of oxidative stress-related genes in endometriosisSemantic proximity
Select a neighboring publication to make it the new centre.