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...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Li-Wei, Wang, Guo-Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Original Research
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

Internet

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

Ejemplares similares