Identification and validation of biomarkers related to lipid metabolism in osteoarthritis based on machine learning algorithms
Abstract Background Osteoarthritis and lipid metabolism are strongly associated, although the precise targets and regulatory mechanisms are unknown. Methods Osteoarthritis gene expression profiles were acquired from the GEO database, while lipid metabolism-related genes (LMRGs) were sourced from the...
Main Authors: | Hang Li, Yubao Cui, Jian Wang, Wei Zhang, Yuhao Chen, Jijun Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2024-04-01
|
Series: | Lipids in Health and Disease |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12944-024-02073-5 |
Similar Items
-
Bioinformatics and system biology analysis revealed the crosstalk between COVID‐19 and osteoarthritis
by: Bowen Lai, et al.
Published: (2023-12-01) -
Bioinformatics gene analysis of potential biomarkers and therapeutic targets of osteoarthritis associated myelodysplastic syndrome
by: Peicheng Xin, et al.
Published: (2023-03-01) -
Identification and validation of hub genes and potential drugs involved in osteoarthritis through bioinformatics analysis
by: Wenbo Xu, et al.
Published: (2023-02-01) -
Identification of key biomarkers and immune infiltration in the synovial tissue of osteoarthritis by bioinformatics analysis
by: Weisong Cai, et al.
Published: (2020-01-01) -
A comprehensive analysis of biomarkers associated with synovitis and chondrocyte apoptosis in osteoarthritis
by: Ling Yang, et al.
Published: (2023-07-01)