Comparisons of Forecasting for Survival Outcome for Head and Neck Squamous Cell Carcinoma by using Machine Learning Models based on Multi-omics

Background: Machine learning methods showed excellent predictive ability in a wide range of fields. For the survival of head and neck squamous cell carcinoma (HNSC), its multi-omics influence is crucial. This study attempts to establish a variety of machine learning multi-omics models to predict the...

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Detalles Bibliográficos
Autores principales: Mo, Liying, Su, Yuangang, Yuan, Jianhui, Xiao, Zhiwei, Zhang, Ziyan, Lan, Xiuwan, Huang, Daizheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2022
Materias:
Genetics & Genomics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878835/
https://www.ncbi.nlm.nih.gov/pubmed/36778975
http://dx.doi.org/10.2174/1389202923666220204153744

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878835/
https://www.ncbi.nlm.nih.gov/pubmed/36778975
http://dx.doi.org/10.2174/1389202923666220204153744

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