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...

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Detalles Bibliográficos
Autores principales: Wang, Yu, Hu, Sibo, Bai, Xianguang, Zhang, Ke, Yu, Ruixue, Xia, Xichao, Zheng, Xinhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
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

Internet

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

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