Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method

BACKGROUND: Osteoporosis is a bone disease that increases the patient’s risk of fracture. We aimed to identify robust marker genes related to osteoporosis based on different bioinformatic methods and multiple datasets. METHODS: Three datasets from Gene Expression Omnibus (GEO) were utilized for anal...

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Detalles Bibliográficos
Autores principales: Tang, Hongwei, Han, Qingtian, Yin, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801634/
https://www.ncbi.nlm.nih.gov/pubmed/35110962
http://dx.doi.org/10.1177/11769343221075014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801634/
https://www.ncbi.nlm.nih.gov/pubmed/35110962
http://dx.doi.org/10.1177/11769343221075014

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