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Screening and identification of key biomarkers in prostate cancer using bioinformatics
Prostate cancer (PCa) is the second most common cancer amongst males worldwide. In the current study, microarray datasets GSE3325 and GSE6919 from the Gene Expression Omnibus database were screened to identify candidate genes that are associated with the progression of PCa. A total of 273 differenti...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
D.A. Spandidos
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896273/ https://www.ncbi.nlm.nih.gov/pubmed/31746380 http://dx.doi.org/10.3892/mmr.2019.10799 |