Machine Learning for Future Subtyping of the Tumor Microenvironment of Gastro-Esophageal Adenocarcinomas

SIMPLE SUMMARY: We summarize the main components of the tumor microenvironment in gastro-esophageal adenocarcinomas (GEA). In addition, we highlight past and present applications of machine learning in GEA to propose ways to facilitate its clinical use in the future. ABSTRACT: Tumor progression invo...

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Detalles Bibliográficos
Autores principales: Klein, Sebastian, Duda, Dan G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507866/
https://www.ncbi.nlm.nih.gov/pubmed/34638408
http://dx.doi.org/10.3390/cancers13194919

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507866/
https://www.ncbi.nlm.nih.gov/pubmed/34638408
http://dx.doi.org/10.3390/cancers13194919

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