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

Identification and validation of susceptibility modules and hub genes in polyarticular juvenile idiopathic arthritis using WGCNA and machine learning.

Autoimmunity - 1 Dec 2025

Liu Junfeng, Fan Jianhui, Duan Hongxiang, Chen Guoming, Zhang Weihua, Wang Pingxi

Abstract excerpt

BACKGROUND: Juvenile idiopathic arthritis (JIA), superseding juvenile rheumatoid arthritis (JRA), is a chronic autoimmune disease affecting children and characterized by various types of childhood arthritis. JIA manifests clinically with joint inflammation, swelling, pain, and limited mobility, potentially leading to long-term joint damage if untreated. This study aimed to identify genes associated with the...

Read the complete abstract on PubMed

Topics

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

Share to Arthritis, Juvenile
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Databases, Genetic

Share to Gene Ontology

Share to Gene Regulatory Networks

Share to Machine Learning

Share to Protein Interaction Maps

Share to Transcriptome

Source

Identifiers

PMID: 39699225
DOI: 10.1080/08916934.2024.2437239

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification and validation of susceptibility modules and hub genes in polyarticular juvenile idiopathic arthritis using WGCNA and machine learning.PMID 39699225Read ↗

Identification of Key Biomarkers in RF-negative Polyarticular and Oligoarticular juvenile idiopathic arthritis by Bioinformatic AnalysisSemantic proximity Read ↗

Application of Weighted Gene Co-expression Network Analysis to Identify Key Modules and Hub Genes in Systemic Juvenile Idiopathic ArthritisSemantic proximity Read ↗

Identification of Potential Diagnostic Biomarkers for Systemic Juvenile Idiopathic Arthritis by Integrative Transcriptomic AnalysisSemantic proximity Read ↗

Identification of three-gene signature to diagnose rheumatoid arthritis through WGCNA and machine learning methodsSemantic proximity Read ↗

Machine learning and weighted gene co-expression network analysis identify a three-gene signature to diagnose rheumatoid arthritisSemantic proximity Read ↗

Identification of key genes and immune profile in rheumatoid arthritis by bioinformatics analysisSemantic proximity Read ↗

A 9 mRNAs-based diagnostic signature for rheumatoid arthritis by integrating bioinformatic analysis and machine-learningSemantic proximity Read ↗

Identification of diagnostic mRNA biomarkers in whole blood for ankylosing spondylitis using WGCNA and machine learning feature selectionSemantic proximity Read ↗

Combined genetic analysis of juvenile idiopathic arthritis clinical subtypes identifies novel risk loci, target genes and key regulatory mechanisms.Semantic proximity Read ↗

Genome-Wide Association Meta-Analysis Reveals Novel Juvenile Idiopathic Arthritis Susceptibility Loci.Semantic proximity Read ↗

CD3D, GZMK, and KLRB1 Are Potential Markers for Early Diagnosis of Rheumatoid Arthritis, Especially in Anti-Citrullinated Protein Antibody-Negative PatientsSemantic proximity Read ↗

Identifying the Hub Genes and Immune Cell Infiltration in Synovial Tissue between Osteoarthritic and Rheumatoid Arthritic Patients by Bioinformatic ApproachSemantic proximity Read ↗

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