Identification of signature genes and subtypes for heart failure diagnosis based on machine learning
Our research identified four unique genes (<i>FCN3</i>, <i>FREM1</i>, <i>MNS1</i>, and <i>SMOC2</i>), enhancing our comprehension of the causes of HF. This provides new diagnostic insights and potentially establishes a tailored approach for individualized HF treatment.
Authors
- Hualong Zhang (ORCID: https://orcid.org/0000-0002-3571-6944)
- Yanming Fan
- Dan Chen (ORCID: https://orcid.org/0000-0001-5611-1541)
- Yanlong Zhang (ORCID: https://orcid.org/0000-0002-9132-5585)
- Fei Cheng (ORCID: https://orcid.org/0000-0001-7364-8527)
Institutions
- Hebei Medical University (CN)
- Xingtai People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-04-14
- DOI
- https://doi.org/10.3389/fcvm.2025.1492192
- Citations
- 2
- Primary Topic
- GDF15 and Related Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 3.34