Article

Machine Learning Algorithms for a Novel Cuproptosis-related Gene Signature of Diagnostic and Immune Infiltration in Endometriosis

2023-05-16

Abstract excerpt

<title>Abstract</title> <p>Endometriosis (EMT) is a chronic hormone-dependent disease where in viable endometrial tissue is transplanted outside the uterus. Interestingly, immune infiltration is significantly involved in EMT pathogenesis. Currently, no studies have shown the involvement of cuproptosis-related genes (CRGs) in regulating immune infiltration in EMT. This study identified three CRGs such as GLS, NFE2...

Topics

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

Identifiers and source

Literature Corpus work: 19b64600-6f09-58e0-b981-60fc94eb66a1
DOI: 10.21203/rs.3.rs-2742573/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine Learning Algorithms for a Novel Cuproptosis-related Gene Signature of Diagnostic and Immune Infiltration in EndometriosisDOI 10.21203/rs.3.rs-2742573/v1Read

Integrated bioinformatics analysis uncovers characteristic genes and molecular subtyping system for endometriosisSemantic proximity Read

Identification of key immune genes of endometriosis based on bioinformatics and machine learningSemantic proximity Read

Bioinformatics identification and validation of biomarkers and infiltrating immune cells in endometriosisSemantic proximity Read

Combined with bioinformatics and machine learning, the diagnostic model, Immunological features and subtypes of stage IV endometriosis with infertility were analyzedSemantic proximity Read

TMPRSS2 Suppresses Metastasis in Endometriosis-Associated Ovarian Cancer: A Multi-Gene Prognostic Signature Construction and Functional ValidationSemantic proximity Read

Identification and immune features of cuproptosis-related molecular clusters in polycystic ovary syndromeSemantic proximity Read

Unraveling immunotherapeutic targets for endometriosis: a transcriptomic and single-cell analysisSemantic proximity Read

Bioinformatical Enrichment Analysis Reveals Key Differentially Expressed Genes in Endometriosis PathogenesisSemantic proximity Read

Oxidative stress-related genes as diagnostic markers for endometriosis and their associated immunoassaysSemantic proximity Read

LGALS2 and EGR1: markers of endometriosis for predictive, preventive and personalized medicineSemantic proximity Read

Establishment Of A Novel Glycolysis-Immune-Related Diagnosis Gene Signature For Endometriosis By Machine LearningSemantic proximity Read

Establishment of a novel glycolysis-immune-related diagnosis gene signature for endometriosis by machine learningSemantic proximity Read