Identification of Potential Key Genes and Prognostic Biomarkers of Lung Cancer Based on Bioinformatics

OBJECTIVE: To analyze and identify the core genes related to the expression and prognosis of lung cancer including lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) by bioinformatics technology, with the aim of providing a reference for clinical treatment. METHODS: Five sets of gene...

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Detalles Bibliográficos
Autores principales: Cai, Kaier, Xie, Zhilong, Liu, Yingao, Wu, Junfeng, Song, Hao, Liu, Wang, Wang, Xinyi, Xiong, Yinghuan, Gan, Siyuan, Sun, Yanqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876670/
https://www.ncbi.nlm.nih.gov/pubmed/36714024
http://dx.doi.org/10.1155/2023/2152432

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876670/
https://www.ncbi.nlm.nih.gov/pubmed/36714024
http://dx.doi.org/10.1155/2023/2152432

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