Cargando…
Cross-Tissue Analysis Using Machine Learning to Identify Novel Biomarkers for Knee Osteoarthritis
BACKGROUND: Knee osteoarthritis (KOA) is a common degenerative joint disease. In this study, we aimed to identify new biomarkers of KOA to improve the accuracy of diagnosis and treatment. METHODS: GSE98918 and GSE51588 were downloaded from the Gene Expression Omnibus database as training sets, with...
Autores principales: | Zhao, Yudong, Xia, Yu, Kuang, Gaoyan, Cao, Jihui, Shen, Fu, Zhu, Mingshuang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246600/ https://www.ncbi.nlm.nih.gov/pubmed/35785145 http://dx.doi.org/10.1155/2022/9043300 |
Ejemplares similares
-
Machine learning in knee osteoarthritis: A review
por: Kokkotis, C., et al.
Publicado: (2020) -
Identifying Robust Risk Factors for Knee Osteoarthritis Progression: An Evolutionary Machine Learning Approach
por: Kokkotis, Christos, et al.
Publicado: (2021) -
Machine learning identifies ferroptosis-related genes as potential diagnostic biomarkers for osteoarthritis
por: Qiu, Yue, et al.
Publicado: (2023) -
Identifying Mild Hepatic Encephalopathy Based on Multi-Layer Modular Algorithm and Machine Learning
por: Zhang, Gaoyan, et al.
Publicado: (2021) -
Multicentre Study Using Machine Learning Methods in Clinical Diagnosis of Knee Osteoarthritis
por: Zeng, Ke, et al.
Publicado: (2021)