Identifying biomarkers of endoplasmic reticulum stress and analyzing immune cell infiltration in chronic obstructive pulmonary disease using machine learning

The insights of our study have the potential to present new evidence for exploring emerging diagnostic signs of COPD while also contributing to a better understanding of its developmental mechanisms.

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Publication Details

Journal
Frontiers in Medicine
Published
2024-11-22
DOI
https://doi.org/10.3389/fmed.2024.1462868
Citations
1
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.42
Controls
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article

Identifying biomarkers of endoplasmic reticulum stress and analyzing immune cell infiltration in chronic obstructive pulmonary disease using machine learning

Shaoke Zhang, Hua Duan, Junjie Yan
1 citations
Frontiers in Medicine
Chronic Obstructive Pulmonary Disease (COPD) Research
0.42
article

Identifying biomarkers of endoplasmic reticulum stress and analyzing immune cell infiltration in chronic obstructive pulmonary disease using machine learning

Shaoke Zhang, Hua Duan, Junjie Yan
article en
1 citations

Abstract

The insights of our study have the potential to present new evidence for exploring emerging diagnostic signs of COPD while also contributing to a better understanding of its developmental mechanisms.

Frontiers in MedicineVol. 11
Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine (CN), Xiyuan Hospital (CN)
Good health and well-being
Openalex Percentile: Top 30%
Chronic Obstructive Pulmonary Disease (COPD) Research
0.42
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