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Comprehensive bioinformatics analysis identifies several potential diagnostic markers and potential roles of cyclin family members in lung adenocarcinoma
PURPOSE: The aim of this study was to identify critical genes in lung cancer progression. METHODS: We downloaded and reanalyzed gene expression profiles from different public data-sets using comprehensive bioinformatics analysis. Differentially expressed genes (DEGs) were identified in lung adenocar...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Dove Medical Press
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6204853/ https://www.ncbi.nlm.nih.gov/pubmed/30425528 http://dx.doi.org/10.2147/OTT.S171705 |