Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.

Journal: Frontiers in endocrinology

PMID: 40213100

Abstract

PURPOSE: We aimed to identify the mitochondria-related feature genes associated with type 2 diabetes mellitus and explore their potential roles in immune cell infiltration.

Authors

Xiuping Xuan

Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Mingjin Sun

Department of Endocrinology, Suizhou Hospital, Hubei University of Medicine, Suizhou, Hubei, China.
Donghui Hu

Department of Reproduction and Infertility, Suizhou Hospital, Hubei University of Medicine, Suizhou, Hubei, China.
Chunli Lu

Department of Endocrinology, Suizhou Hospital, Hubei University of Medicine, Suizhou, Hubei, China.

Keywords

Databases, Genetic Diabetes Mellitus, Type 2 Gene Expression Profiling Gene Regulatory Networks Humans Machine Learning Mitochondria

External Resources

View on PubMed Access via DOI PubMed (40213100)

Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.

Abstract

Authors

Keywords

External Resources

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