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

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

Background: Accumulating evidence suggests that postmenopausal osteoporosis (PMOP) is a common chronic systemic metabolic bone disease, but its specific molecular pathogenesis remains unclear. This study aimed to identify novel genetic diagnostic markers for PMOP.Methods: In this paper, we combined...

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Bibliographic Details
Main Authors: Xinzhou Huang, Jinliang Ma, Yongkun Wei, Hui Chen, Wei Chu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Genetics
Subjects:
postmenopausal osteoporosis
machine learning
diagnosis
RNA regulatory pathways
Gene Expression Omnibus
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2023.1198417/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2023.1198417/full

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