Bioinformatics integrated analysis to investigate candidate biomarkers and associated metabolites in osteosarcoma

BACKGROUND: This study hoped to explore the potential biomarkers and associated metabolites during osteosarcoma (OS) progression based on bioinformatics integrated analysis. METHODS: Gene expression profiles of GSE28424, including 19 human OS cell lines (OS group) and 4 human normal long bone tissue...

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Detalles Bibliográficos
Autores principales: Wang, Jun, Gong, Mingzhi, Xiong, Zhenggang, Zhao, Yangyang, Xing, Deguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256509/
https://www.ncbi.nlm.nih.gov/pubmed/34225733
http://dx.doi.org/10.1186/s13018-021-02578-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256509/
https://www.ncbi.nlm.nih.gov/pubmed/34225733
http://dx.doi.org/10.1186/s13018-021-02578-0

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