[An artificial neural network diagnostic model for scleroderma and immune cell infiltration analysis based on mitochondria-associated genes].

Journal: Nan fang yi ke da xue xue bao = Journal of Southern Medical University

PMID: 38862450

Abstract

OBJECTIVE: To establish a diagnostic model for scleroderma by combining machine learning and artificial neural network based on mitochondria-related genes.

Authors

Z Zuo

Department of Radiology, Xiangtan Central Hospital, Xiangtan, Hunan 411000, China.
Q Meng

School of Orthopedics and Traumatology, Henan University of Traditional Chinese Medicine, Department of Rheumatology//Henan Provincial Hospital of Traditional Chinese Medicine, Zhengzhou 450008, China.
J Cui

School of Orthopedics and Traumatology, Henan University of Traditional Chinese Medicine, Department of Rheumatology//Henan Provincial Hospital of Traditional Chinese Medicine, Zhengzhou 450008, China.
K Guo

Henan Key Laboratory of Zhang Zhongjing Formulae and Herbs for Immunoregulation, Nanyang Institute of Technology, Nanyang 473004, China.
H Bian

School of Orthopedics and Traumatology, Henan University of Traditional Chinese Medicine, Department of Rheumatology//Henan Provincial Hospital of Traditional Chinese Medicine, Zhengzhou 450008, China.

Keywords

Algorithms Animals Biomarkers Computational Biology Disease Models, Animal Gene Expression Profiling Humans Machine Learning Mice Mitochondria Neural Networks, Computer ROC Curve Scleroderma, Systemic

External Resources

View on PubMed Access via DOI PubMed (38862450)

[An artificial neural network diagnostic model for scleroderma and immune cell infiltration analysis based on mitochondria-associated genes].

Abstract

Authors

Keywords

External Resources

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