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

Cancer medicine - 1 Dec 2021

Wang Haiwei, Wang Xinrui, Xu Liangpu, Cao Hua, Zhang Ji

Abstract excerpt

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 AND METHODS: Using nonnegative matrix factorization (NMF) clustering, LUAD patients from The Cancer Genome Atlas...

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Identifiers

PMID: 34734491
DOI: 10.1002/cam4.4386
PMCID: PMC8683537

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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