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Identification of Significant Genes in Lung Cancer of Nonsmoking Women via Bioinformatics Analysis
BACKGROUND: The aim of this study was to identify potential key genes, proteins, and associated interaction networks for the development of lung cancer in nonsmoking women through a bioinformatics approach. METHODS: We used the GSE19804 dataset, which includes 60 lung cancer and corresponding paraca...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523254/ https://www.ncbi.nlm.nih.gov/pubmed/34671675 http://dx.doi.org/10.1155/2021/5516218 |