GEO数据库联合机器学习策略识别骨关节炎特征性lncRNA分子标志物及实验验证

OBJECTIVE: To screen for long non-coding RNA (lncRNA) molecular markers characteristic of osteoarthritis (OA) by utilizing the Gene Expression Omnibus (GEO) database combined with machine learning. METHODS: The samples of 185 OA patients and 76 healthy individuals as normal controls were included in...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 四川大学学报(医学版)编辑部 2023
Materias:
大数据与人工智能技术在生物医学多场景的应用
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579086/
https://www.ncbi.nlm.nih.gov/pubmed/37866944
http://dx.doi.org/10.12182/20230960101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579086/
https://www.ncbi.nlm.nih.gov/pubmed/37866944
http://dx.doi.org/10.12182/20230960101

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