Screening of CAD-related secretory genes associated with type II diabetes based on comprehensive bioinformatics analysis and machine learning
Abstract Background Type II diabetes mellitus (T2DM) is strongly linked with a heightened risk of coronary artery disease (CAD). Exploring biological targets common to T2DM and CAD is essential for CAD intervention strategies. Methods RNA transcriptome data from CAD and T2DM patients and single-cell...
| Published in: | BMC Cardiovascular Disorders |
|---|---|
| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-11-01
|
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12872-024-04266-3 |
