Construction and validation of a cuproptosis-related diagnostic gene signature for atrial fibrillation based on ensemble learning.

ABSTRACT:

Background

Atrial fibrillation (AF) is the most common type of cardiac arrhythmia. Nonetheless, the accurate diagnosis of this condition continues to pose a challenge when relying on conventional diagnostic techniques. Cell death is a key factor in the pathogenesis of AF. Existing investigations suggest that cuproptosis may also contribute to AF. This investigation aimed to identify a novel diagnostic gene signature associated with cuproptosis for AF using ensemble learning methods and discover the connection between AF and cuproptosis.

Results

Two genes connected to cuproptosis, including solute carrier family 31 member 1 (SLC31A1) and lipoic acid synthetase (LIAS), were selected by integration of random forests and eXtreme Gradient Boosting algorithms. Subsequently, a diag

SUBMITTER: Wang Y 

PROVIDER: S-EPMC10464108 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature