Identification of key candidate genes for pancreatic cancer by bioinformatics analysis

Although pancreatic cancer has the highest mortality rate among all neoplasms worldwide, its exact mechanism remains poorly understood. In the present study, three Gene Expression Omnibus (GEO) datasets were integrated to elucidate the potential genes and pathways that contribute to the development...

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Detalles Bibliográficos
Autores principales: Lv, Kui, Yang, Jianying, Sun, Junfeng, Guan, Jianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580103/
https://www.ncbi.nlm.nih.gov/pubmed/31281439
http://dx.doi.org/10.3892/etm.2019.7619