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...

Descripción completa

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

Internet

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

Ejemplares similares