Lingpin Pang

Zhanjiang, China

Last Updated: 09/26/2026

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Found 20 publications

Determining potential therapeutic targets for venous thrombosis through network pharmacology, cluster typing, WGCNA, machine learning, immune infiltration analysis, and ceRNA networks.

Determining potential therapeutic targets for venous thrombosis through network pharmacology, cluster typing, WGCNA, machine learning, immune infiltration analysis, and ceRNA networks.

Journal: Medicine

Published: December 02, 2025

Development and validation of a risk stratification model for sarcopenia in patients with chronic lung disease: a cross-sectional study based on CHARLS data.

Development and validation of a risk stratification model for sarcopenia in patients with chronic lung disease: a cross-sectional study based on CHARLS data.

Journal: BMJ open respiratory research

Published: August 25, 2025

Genetic assessment of the causal relationship between obstructive sleep apnea and pulmonary hypertension: Mendelian randomization and meta-analysis.

Genetic assessment of the causal relationship between obstructive sleep apnea and pulmonary hypertension: Mendelian randomization and meta-analysis.

Journal: Respiratory medicine

Published: July 31, 2025

Construction and validation of an interpretable machine learning model for predicting diabetes risk in COPD patients.

Construction and validation of an interpretable machine learning model for predicting diabetes risk in COPD patients.

Journal: Scientific reports

Published: July 03, 2025

Potential therapeutic targets for obstructive sleep Apnea were identified through network pharmacology, WGCNA, machine learning, immune infiltration analysis, and ceRNA network.

Potential therapeutic targets for obstructive sleep Apnea were identified through network pharmacology, WGCNA, machine learning, immune infiltration analysis, and ceRNA network.

Journal: Integrative biology : quantitative biosciences from nano to macro

Published: May 03, 2025

Integrating single-cell RNA-seq, bulk RNA-seq, and Mendelian randomization to elucidate the role of HLA-DPA1 expression levels and non-classical monocytes in the pathogenesis of idiopathic pulmonary arterial hypertension.

Integrating single-cell RNA-seq, bulk RNA-seq, and Mendelian randomization to elucidate the role of HLA-DPA1 expression levels and non-classical monocytes in the pathogenesis of idiopathic pulmonary arterial hypertension.

Journal: International journal of biological macromolecules

Published: March 10, 2025

Comprehensive analysis of disulfidptosis-related genes in pulmonary hypertension through machine learning and immune infiltration: Spotlight on USP32 and ZNF655 as key regulators.

Comprehensive analysis of disulfidptosis-related genes in pulmonary hypertension through machine learning and immune infiltration: Spotlight on USP32 and ZNF655 as key regulators.

Journal: PloS one

Published: February 12, 2025

A comprehensive analysis of genes associated with hypoxia and cuproptosis in pulmonary arterial hypertension using machine learning methods and immune infiltration analysis: AHR is a key gene in the cuproptosis process.

A comprehensive analysis of genes associated with hypoxia and cuproptosis in pulmonary arterial hypertension using machine learning methods and immune infiltration analysis: AHR is a key gene in the cuproptosis process.

Journal: Frontiers in medicine

Published: May 19, 2024

Relationship between serum uric acid levels and pulmonary embolism: an age-based stratified analysis.

Relationship between serum uric acid levels and pulmonary embolism: an age-based stratified analysis.

Journal: Thrombosis journal

Published: May 11, 2024

The Association between Obstructive Sleep Apnea and Venous Thromboembolism: A Bidirectional Two-Sample Mendelian Randomization Study.

The Association between Obstructive Sleep Apnea and Venous Thromboembolism: A Bidirectional Two-Sample Mendelian Randomization Study.

Journal: Thrombosis and haemostasis

Published: April 17, 2024

Construction and validation of risk prediction models for pulmonary embolism in hospitalized patients based on different machine learning methods.

Construction and validation of risk prediction models for pulmonary embolism in hospitalized patients based on different machine learning methods.

Journal: Frontiers in cardiovascular medicine

Published: October 06, 2023

A Nomogram for Predicting 3-Year Mortality in Patients with Pulmonary Hypertension due to Left Heart Failure: A Retrospective Analysis of a Prospective Registry Study.

A Nomogram for Predicting 3-Year Mortality in Patients with Pulmonary Hypertension due to Left Heart Failure: A Retrospective Analysis of a Prospective Registry Study.

Journal: Cardiology

Published: December 01, 2022

Showing 1-12 of 20

Last Updated: 09/26/2026