A Novel Early-Stage Lung Adenocarcinoma Prognostic Model Based on Feature Selection With Orthogonal Regression

Carcinoma diagnosis and prognosis are still hindered by the lack of effective prediction model and integration methodology. We proposed a novel feature selection with orthogonal regression (FSOR) method to resolve predictor selection and performance optimization. Functional enrichment and clinical o...

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Detalles Bibliográficos
Autores principales: Tang, Binhua, Wang, Yuqi, Chen, Yu, Li, Ming, Tao, Yongfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Cell and Developmental Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874010/
https://www.ncbi.nlm.nih.gov/pubmed/33585460
http://dx.doi.org/10.3389/fcell.2020.620746

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874010/
https://www.ncbi.nlm.nih.gov/pubmed/33585460
http://dx.doi.org/10.3389/fcell.2020.620746

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