Cell graph neural networks enable the precise prediction of patient survival in gastric cancer

Gastric cancer is one of the deadliest cancers worldwide. An accurate prognosis is essential for effective clinical assessment and treatment. Spatial patterns in the tumor microenvironment (TME) are conceptually indicative of the staging and progression of gastric cancer patients. Using spatial patt...

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Detalles Bibliográficos
Autores principales: Wang, Yanan, Wang, Yu Guang, Hu, Changyuan, Li, Ming, Fan, Yanan, Otter, Nina, Sam, Ikuan, Gou, Hongquan, Hu, Yiqun, Kwok, Terry, Zalcberg, John, Boussioutas, Alex, Daly, Roger J., Montúfar, Guido, Liò, Pietro, Xu, Dakang, Webb, Geoffrey I., Song, Jiangning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226174/
https://www.ncbi.nlm.nih.gov/pubmed/35739342
http://dx.doi.org/10.1038/s41698-022-00285-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226174/
https://www.ncbi.nlm.nih.gov/pubmed/35739342
http://dx.doi.org/10.1038/s41698-022-00285-5

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