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Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis
BACKGROUND: Oral cancer (OC) is a common and dangerous malignant tumor with a low survival rate. However, the micro level mechanism has not been explained in detail. METHODS: Gene and miRNA expression micro array data were extracted from the Gene Expression Omnibus (GEO) database. The differentially...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361649/ https://www.ncbi.nlm.nih.gov/pubmed/34384424 http://dx.doi.org/10.1186/s12957-021-02360-w |