Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Immune-Associated Gene Signatures and Subtypes to Predict the Progression of Atherosclerotic Plaques Based on Machine Learning

26 Apr 2022

Abstract excerpt

Objective: Experimental and clinical evidence suggests that atherosclerosis is a chronic inflammatory disease. Our study was conducted for uncovering the roles of immune-associated genes during atherosclerotic plaque progression. Methods: Gene expression profiling of GSE28829, GSE43292, GSE41571, and GSE120521 datasets was retrieved from the GEO database. Three machine learning algorithms, least absolute...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Atherosclerosis and Cardiovascular Diseases
Share to Ferroptosis and cancer prognosis
Share to Immune cells in cancer

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35559253
DOI: 10.3389/fphar.2022.865624

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Immune-Associated Gene Signatures and Subtypes to Predict the Progression of Atherosclerotic Plaques Based on Machine LearningPMID 35559253Read ↗

Identification and Validation of Candidate Gene Module Along With Immune Cells Infiltration Patterns in Atherosclerosis Progression to Plaque Rupture via Transcriptome AnalysisSemantic proximity Read ↗

Identification of potential therapeutic targets for atherosclerosis by analysing the gene signature related to different immune cells and immune regulators in atheromatous plaquesSemantic proximity Read ↗

Identification of immune cell infiltration and diagnostic biomarkers in unstable atherosclerotic plaques by integrated bioinformatics analysis and machine learningSemantic proximity Read ↗

Identification of Macrophage-related Gene Signature Associated with Unstable Atherosclerotic Plaques through Integrative Multi- omics AnalysisSemantic proximity Read ↗

Identification of hub genes and immune cell infiltration participating in the progression of carotid atherosclerotic plaquesSemantic proximity Read ↗

Six-Gene Signature Associated with Immune Cells in the Progression of Atherosclerosis Discovered by Comprehensive Bioinformatics Analyses.Semantic proximity Read ↗

Identification of core genes associated with the anti-atherosclerotic effects of Salvianolic acid B and immune cell infiltration characteristics using bioinformatics analysisSemantic proximity Read ↗

Identification of immune infiltration-related biomarkers in carotid atherosclerotic plaquesSemantic proximity Read ↗

Identification and Validation of Immune-Related Genes Diagnostic for Progression of Atherosclerosis and DiabetesSemantic proximity Read ↗

Signature transcriptome analysis of stage specific atherosclerotic plaques of patientsSemantic proximity Read ↗

Exploring the causal links between inflammation-related genes and atherosclerosis through Mendelian randomization analysisSemantic proximity Read ↗

Identification of key genes for atherosclerosis in different arterial bedsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.