Bioinformatics and integrated analyses of prognosis-associated key genes in lung adenocarcinoma

BACKGROUND: The objective of the present study was to predict candidate genes with prognostic information for lung adenocarcinoma (LUAD). METHODS: Weighted correlation network analysis (WGCNA) was utilized to build the co-expression network of deferentially expressed genes (DEGs) in GSE32863. Key ge...

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Detalles Bibliográficos
Autores principales: Zhu, Huijun, Yue, Haiying, Xie, Yiting, Chen, Binlin, Zhou, Yanhua, Liu, Wenqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947492/
https://www.ncbi.nlm.nih.gov/pubmed/33717590
http://dx.doi.org/10.21037/jtd-21-49

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947492/
https://www.ncbi.nlm.nih.gov/pubmed/33717590
http://dx.doi.org/10.21037/jtd-21-49

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