Back to search

Article

LAASO algorithm-based bioinformatics analysis for exploring the pathogenesis and immune infiltration of atrial fibrillation and dilated cardiomyopathy

2024-06-12

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> It is well known that atrial fibrillation (AF) is a serious complication of dilated cardiomyopathy (DCM) and they could affect each other. This study endeavors to uncover the shared diagnostic markers and immune pathways contributing to both disorders. <bold>Methods:</bold> We downloaded AF and DCM data from the Gene Expression Omnibus (GEO) database. Gene Ontol...

Topics

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

Identifiers and source

Literature Corpus work
cb2ba905-aaff-5e63-bffa-34825a786d04
DOI
10.21203/rs.3.rs-4494391/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.
LAASO algorithm-based bioinformatics analysis for exploring the pathogenesis and immune infiltration of atrial fibrillation and dilated cardiomyopathyDOI 10.21203/rs.3.rs-4494391/v1
Exploring the pathogenesis and immune infiltration in dilated cardiomyopathy complicated with atrial fibrillation by bioinformatics analysisSemantic proximity
Analysis of Potential Genetic Biomarkers Using Machine Learning Methods and Immune Infiltration Regulatory Mechanisms Underlying Atrial Fibrillation Running Title: Identification of Biomarkers for Af via Machine LearningSemantic proximity
Exploring the causality and pathogenesis of atrial fibrillation with dilated cardiomyopathy: An integrated multi-omics approachSemantic proximity
Analysis of potential genetic biomarkers using machine learning methods and immune infiltration regulatory mechanisms underlying atrial fibrillationSemantic proximity
Role of Necroptosis and Immune Infiltration in Atrial Fibrillation: Novel Insights Revealed by Integrated Computational Biology AnalysesSemantic proximity
Crosstalk between Atrial Cardiomyocytes and Epicardial Adipose Tissue in Atrial Fibrillation: Insights from Machine Learning Methods and Rat Atrial Fibrillation ModelSemantic proximity
Potential Target Genes in the Development of Atrial Fibrillation: A Comprehensive Bioinformatics AnalysisSemantic proximity
Bioinformatics analysis reveals the potential common genes and immune characteristics between atrial fibrillation and periodontitisSemantic proximity
A bioinformatics-based analysis of chromatin regulators in atrial fibrillation uncovers potential novel biomarkers and immune infiltration characteristicsSemantic proximity
Identification and validation of aging-related genes in atrial fibrillationSemantic proximity
Atrial fibrillation risk model based on LASSO and SVM algorithms and immune infiltration of key mitochondrial energy metabolism genesSemantic proximity
Characteristics of immune clusters and cell abundance in patients with different subtypes of nonparoxysmal atrial fibrillation.Semantic proximity
Select a neighboring publication to make it the new centre.