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

Screening COPD-Related Biomarkers and Traditional Chinese Medicine Prediction Based on Bioinformatics and Machine Learning.

International journal of chronic obstructive pulmonary disease - 1 Jan 2024

Cao Zhenghua, Zhao Shengkun, Hu Shaodan, Wu Tong, Sun Feng, Shi L I

Abstract excerpt

Purpose: To employ bioinformatics and machine learning to predict the characteristics of immune cells and genes associated with the inflammatory response and ferroptosis in chronic obstructive pulmonary disease (COPD) patients and to aid in the development of targeted traditional Chinese medicine (TCM). Mendelian randomization analysis elucidates the causal relationships among immune cells, genes, and COPD,...

Read the complete abstract on PubMed

Topics

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

Share to Drugs, Chinese Herbal
Share to Ferroptosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Regulatory Networks

Share to Machine Learning

Share to Medicine, Chinese Traditional

Share to Molecular Docking Simulation

Share to Pulmonary Disease, Chronic Obstructive

Source

Open in PubMed Open full text

Identifiers

PMID: 39346628
DOI: 10.2147/COPD.S476808
PMCID: PMC11438478

Genes

CD4
EGF
NR4A1
PLG
PTPN22
TF

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

Screening COPD-Related Biomarkers and Traditional Chinese Medicine Prediction Based on Bioinformatics and Machine Learning.PMID 39346628Read ↗

A Macrophage-Related Gene Signature for Identifying COPD Based on Bioinformatics and ex vivo ExperimentsSemantic proximity Read ↗

Causal role of immune cells in chronic obstructive pulmonary disease: Mendelian randomization studySemantic proximity Read ↗

Causal effects of circulating inflammatory proteins on COPD: A Mendelian randomization study.Semantic proximity Read ↗

Identification of Crucial Genes Associated with Ferroptosis in COPD via Comprehensive Bioinformatics Analysis and the Relevant Experimental ValidationSemantic proximity Read ↗

Identification of differentially expressed genes and signaling pathways in chronic obstructive pulmonary disease via bioinformatic analysisSemantic proximity Read ↗

Integrative bioinformatics analyses reveal new molecular signatures and immune infiltration in chronic obstructive pulmonary disease: mediators of airflow limitationSemantic proximity Read ↗

Causal Involvement of Immune Cells in Chronic Obstructive Pulmonary Disease: A Mendelian Randomization Study.Semantic proximity Read ↗

A machine learning model and identification of immune infiltration for chronic obstructive pulmonary disease based on disulfidptosis-related genesSemantic proximity Read ↗

Integrating RNA-seq and scRNA-seq to explore the mechanism of macrophage ferroptosis associated with COPDSemantic proximity Read ↗

Revealing lncRNA Biomarkers Related to Chronic Obstructive Pulmonary Disease Based on BioinformaticsSemantic proximity Read ↗

Mendelian randomization analysis identifies druggable genes and drugs repurposing for chronic obstructive pulmonary disease.Semantic proximity Read ↗

Critical Biological Functions and Clinical Implications of Epigenetic-Related Candidate Biomarkers in Chronic Obstructive Pulmonary Disease: Integrated Machine Learning Screening and Basic Experimental Validation.Semantic proximity Read ↗

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