Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods
SLC2A2, ENTPD3, ARG2, CHL1, and RASGRP1 could be used as the mitochondria-related feature genes to predict type 2 diabetes mellitus and the therapeutic targets.
Authors
- Mingjin Sun
- Xiuping Xuan (ORCID: https://orcid.org/0000-0002-1714-4559)
- Chunli Lu
- Donghui Hu (ORCID: https://orcid.org/0000-0002-3432-3292)
Institutions
- Hubei University of Medicine (CN)
- Guangxi Medical University (CN)
- Suizhou Central Hospital (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-03-27
- DOI
- https://doi.org/10.3389/fendo.2025.1501159
- Citations
- 1
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.52