Machine learning analysis of gene expression profile reveals a novel diagnostic signature for osteoporosis

BACKGROUND: Osteoporosis (OP) is increasingly prevalent with the aging of the world population. It is urgent to identify efficient diagnostic signatures for the clinical application. METHOD: We downloaded the mRNA profile of 90 peripheral blood samples with or without OP from GEO database (Number: G...

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Detalles Bibliográficos
Autores principales: Chen, Xinlei, Liu, Guangping, Wang, Shuxiang, Zhang, Haiyang, Xue, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958453/
https://www.ncbi.nlm.nih.gov/pubmed/33722258
http://dx.doi.org/10.1186/s13018-021-02329-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958453/
https://www.ncbi.nlm.nih.gov/pubmed/33722258
http://dx.doi.org/10.1186/s13018-021-02329-1

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