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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
D.A. Spandidos
2019
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| 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 |