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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AME Publishing Company
2023
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| Materias: | |
| 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 |