Identification of potential key genes in esophageal adenocarcinoma using bioinformatics

Esophageal adenocarcinoma (EAC) is the predominant pathological subtype of esophageal cancer in Europe and the USA. The present bioinformatics study analyzed a high-throughput sequencing dataset, GSE94869, to determine differentially expressed genes (DEGs) in order to identify key genes, biological...

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Detalles Bibliográficos
Autores principales: Dong, Zhiyu, Wang, Junwen, Zhang, Haiqin, Zhan, Tingting, Chen, Ying, Xu, Shuchang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781836/
https://www.ncbi.nlm.nih.gov/pubmed/31616504
http://dx.doi.org/10.3892/etm.2019.7973

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781836/
https://www.ncbi.nlm.nih.gov/pubmed/31616504
http://dx.doi.org/10.3892/etm.2019.7973

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