Non-negative matrix factorization model-based construction for molecular clustering and prognostic assessment of head and neck squamous carcinoma

PURPOSE: We aimed at exploring the efficacy of non-negative matrix factorization (NMF) model-based clustering for prognostic assessment of head and neck squamous carcinoma (HNSCC). METHODS: The transcriptome microarray data of HNSCC samples were downloaded from The Cancer Genome Atlas (TCGA) and the...

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Detalles Bibliográficos
Autores principales: Li, Xin-yu, An, Hong-bang, Zhang, Lu-yu, Liu, Hui, Shen, Yu-chen, Yang, Xi-tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389204/
https://www.ncbi.nlm.nih.gov/pubmed/35991972
http://dx.doi.org/10.1016/j.heliyon.2022.e10100

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389204/
https://www.ncbi.nlm.nih.gov/pubmed/35991972
http://dx.doi.org/10.1016/j.heliyon.2022.e10100

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