Construction of diagnostic and prognostic models based on gene signatures of nasopharyngeal carcinoma by machine learning methods

BACKGROUND: Diagnostic models based on gene signatures of nasopharyngeal carcinoma (NPC) were constructed by random forest (RF) and artificial neural network (ANN) algorithms. Least absolute shrinkage and selection operator (Lasso)-Cox regression was used to select and build prognostic models based...

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Detalles Bibliográficos
Autores principales: Wang, Yiren, He, Yongcheng, Duan, Xiaodong, Pang, Haowen, Zhou, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248568/
https://www.ncbi.nlm.nih.gov/pubmed/37304552
http://dx.doi.org/10.21037/tcr-22-2700

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248568/
https://www.ncbi.nlm.nih.gov/pubmed/37304552
http://dx.doi.org/10.21037/tcr-22-2700

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