Chen X, Liu, G Wang S, et al. - This study was sought to present the machine learning analysis of gene expression profile reveals a novel diagnostic signature for osteoporosis. The mRNA profile of 90 peripheral blood samples with or without osteoporosis (OP) from the GEO database was downloaded (Number: GSE152073). Researchers applied weighted gene co-expression network analysis (WGCNA) to reveal the association among genes in all samples. They conducted GO term and KEGG pathway enrichment analysis via the clusterProfiler R package. They used STRING database to screen the interaction pairs among proteins. The results of this study exhibited that a diagnostic model established based on nine key genes could reliably separate OP patients from healthy individuals, which provided novel lightings on the diagnostic research of OP.