Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma

BACKGROUND: A plethora of prognostic biomarkers for esophageal squamous cell carcinoma (ESCC) that have hitherto been reported are challenged with low reproducibility due to high molecular heterogeneity of ESCC. The purpose of this study was to identify the optimal biomarkers for ESCC using machine...

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Detalles Bibliográficos
Autores principales: Li, Meng-Xiang, Sun, Xiao-Meng, Cheng, Wei-Gang, Ruan, Hao-Jie, Liu, Ke, Chen, Pan, Xu, Hai-Jun, Gao, She-Gan, Feng, Xiao-Shan, Qi, Yi-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351329/
https://www.ncbi.nlm.nih.gov/pubmed/34372798
http://dx.doi.org/10.1186/s12885-021-08647-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351329/
https://www.ncbi.nlm.nih.gov/pubmed/34372798
http://dx.doi.org/10.1186/s12885-021-08647-1

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