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

Multi-omics characterization of macrophage polarization-related features in osteoarthritis based on a machine learning computational framework

27 Apr 2024

Abstract excerpt

Background: OA imposes a heavy burden on patients and society in that its mechanism is still unclear, and there is a lack of effective targeted therapy other than surgery. Methods: The osteoarthritis dataset GSE55235 was downloaded from the GEO database and analyzed for differential genes by limma package, followed by analysis of immune-related modules by xcell immune infiltration combined with the WGCNA method,...

Read the complete abstract on PubMed

Topics

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

Share to Ferroptosis and cancer prognosis
Share to Immune cells in cancer
Share to Osteoarthritis Treatment and Mechanisms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38774079
DOI: 10.1016/j.heliyon.2024.e30335

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

Multi-omics characterization of macrophage polarization-related features in osteoarthritis based on a machine learning computational frameworkPMID 38774079Read ↗

Integrated Bioinformatics and Experimental Validation Reveal Macrophage Polarization-Related Biomarkers for Osteoarthritis DiagnosisSemantic proximity Read ↗

Screening of Potential Biomarkers and Immune Analysis for Osteoarthritis Based on Machine Learning and WGCNASemantic proximity Read ↗

Identification and development of a novel 5-gene diagnostic model based on immune infiltration analysis of osteoarthritisSemantic proximity Read ↗

Identification of immune microenvironment subtypes and clinical risk biomarkers for osteoarthritis based on a machine learning modelSemantic proximity Read ↗

Identification of osteoarthritis-characteristic genes and immunological micro-environment features through bioinformatics and machine learning-based approachesSemantic proximity Read ↗

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

Identification of key biomarkers and immune infiltration in the peripheral blood of osteoarthritis by bioinformatics analysisSemantic proximity Read ↗

Identifying hub genes and immune infiltration of osteoarthritis using comprehensive bioinformatics analysisSemantic proximity Read ↗

Mechanism of immune infiltration in synovial tissue of osteoarthritis: a gene expression-based studySemantic proximity Read ↗

Identification of osteoarthritis-characteristic genes and immunological micro-environment features by bioinformatics and machine learningSemantic proximity Read ↗

Identification of key hub genes in knee osteoarthritis through integrated bioinformatics analysisSemantic proximity Read ↗

Bioinformatics approach to explore the common pathogenic genes between lumbar disc degeneration and osteoarthritisSemantic proximity Read ↗

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