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Identification of candidate biomarkers associated with gastric cancer prognosis based on an integrated bioinformatics analysis

BACKGROUND: This study sought to identify candidate biomarkers associated with gastric cancer (GC) prognosis based on an integrated bioinformatics analysis. METHODS: First, the GSE54129 and GSE79973 data sets were downloaded from the Gene Expression Omnibus (GEO) database. The differentially express...

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Detalles Bibliográficos
Autores principales:	Liu, Yong, Wang, Da-Xiu, Wan, Xiao-Jing, Meng, Xian-Hong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459179/ https://www.ncbi.nlm.nih.gov/pubmed/36092336 http://dx.doi.org/10.21037/jgo-22-651

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