Nonnegative matrix factorization‐based bioinformatics analysis reveals that TPX2 and SELENBP1 are two predictors of the inner sub‐consensuses of lung adenocarcinoma

BACKGROUND: Lung adenocarcinoma (LUAD) is a heterogeneous disease. However the inner sub‐groups of LUAD have not been fully studied. Markers predicted the sub‐groups and prognosis of LUAD are badly needed. AIMS: To identify biomarkers associated with the sub‐groups and prognosis of LUAD. MATERIALS A...

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Detalles Bibliográficos
Autores principales: Wang, Haiwei, Wang, Xinrui, Xu, Liangpu, Cao, Hua, Zhang, Ji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683537/
https://www.ncbi.nlm.nih.gov/pubmed/34734491
http://dx.doi.org/10.1002/cam4.4386

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683537/
https://www.ncbi.nlm.nih.gov/pubmed/34734491
http://dx.doi.org/10.1002/cam4.4386

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