A machine learning model and identification of immune infiltration for chronic obstructive pulmonary disease based on disulfidptosis-related genes

A machine learning model and identification of immune infiltration for chronic obstructive pulmonary disease based on disulfidptosis-related genes

Abstract Background Chronic obstructive pulmonary disease (COPD) is a chronic and progressive lung disease. Disulfidptosis-related genes (DRGs) may be involved in the pathogenesis of COPD. From the perspective of predictive, preventive, and personalized medicine (PPPM), clarifying the role of disulf...

Full description

Saved in:
Bibliographic Details
Main Authors: Sijun Li, Qingdong Zhu, Aichun Huang, Yanqun Lan, Xiaoying Wei, Huawei He, Xiayan Meng, Weiwen Li, Yanrong Lin, Shixiong Yang
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Medical Genomics
Subjects:
Chronic obstructive pulmonary disease
Disulfidptosis
Disulfidptosis-related genes
Immune cells
Machine learning model
Online Access:https://doi.org/10.1186/s12920-024-02076-2
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12920-024-02076-2

Similar Items