Identification of biomarkers associated with diagnosis of postmenopausal osteoporosis patients based on bioinformatics and machine learning.

Huang, Xinzhou; Ma, Jinliang; Wei, Yongkun; Chen, Hui; Chu, Wei

Huang, Xinzhou; Ma, Jinliang; Wei, Yongkun; Chen, Hui; Chu, Wei.

Afiliação

Huang X; Department of Orthopedics, 3201 Hospital of Xi'an Jiaotong University Health Science Center, Hanzhong, China.
Ma J; Department of Orthopedics, The First People's Hospital of Jingzhou (First Affiliated Hospital of Yangtze University), Jingzhou, China.
Wei Y; Department of Orthopedics, 3201 Hospital of Xi'an Jiaotong University Health Science Center, Hanzhong, China.
Chen H; Department of Clinical Laboratory, The First People's Hospital of Jingzhou (First Affiliated Hospital of Yangtze University), Jingzhou, China.
Chu W; Department of Orthopedics, The First People's Hospital of Jingzhou (First Affiliated Hospital of Yangtze University), Jingzhou, China.

Front Genet ; 14: 1198417, 2023.

Article em En | MEDLINE | ID: mdl-37465165

Palavras-chave

Gene Expression Omnibus; RNA regulatory pathways; diagnosis; machine learning; postmenopausal osteoporosis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Risk_factors_studies Idioma: En Revista: Front Genet Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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