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

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

Abstract 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 (Nu...

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Bibliographic Details
Main Authors: Xinlei Chen, Guangping Liu, Shuxiang Wang, Haiyang Zhang, Peng Xue
Format: Article
Language:English
Published: BMC 2021-03-01
Series:Journal of Orthopaedic Surgery and Research
Subjects:
Osteoporosis
WGCNA analysis
PPI network
Logistic regression model
Online Access:https://doi.org/10.1186/s13018-021-02329-1

Internet

https://doi.org/10.1186/s13018-021-02329-1

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