Machine learning identifies lipid-associated genes and constructs diagnostic and prognostic models for idiopathic pulmonary fibrosis

Machine learning identifies lipid-associated genes and constructs diagnostic and prognostic models for idiopathic pulmonary fibrosis

Abstract Objective Emerging evidence suggests a potential relationship between lipid metabolism and idiopathic pulmonary fibrosis (IPF). This study aimed to identify lipid-related genes implicated in IPF pathogenesis. Methods Lipid-associated genes were retrieved from the GeneCards database and anal...

Full description

Saved in:
Bibliographic Details
Main Authors: Xingren Liu, Junmei Song, Shujin Guo, Yi Liao, Jun Zou, Liqing Yang, Caiyu Jiang
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Orphanet Journal of Rare Diseases
Subjects:
Idiopathic pulmonary fibrosis
Lipid
Diagnosis
Prognosis
Online Access:https://doi.org/10.1186/s13023-025-03876-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items