A classification method of gastric cancer subtype based on residual graph convolution network

Background: Clinical diagnosis and treatment of tumors are greatly complicated by their heterogeneity, and the subtype classification of cancer frequently plays a significant role in the subsequent treatment of tumors. Presently, the majority of studies rely far too heavily on gene expression data,...

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Detalles Bibliográficos
Autores principales: Liu, Can, Duan, Yuchen, Zhou, Qingqing, Wang, Yongkang, Gao, Yong, Kan, Hongxing, Hu, Jili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845413/
https://www.ncbi.nlm.nih.gov/pubmed/36685956
http://dx.doi.org/10.3389/fgene.2022.1090394

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845413/
https://www.ncbi.nlm.nih.gov/pubmed/36685956
http://dx.doi.org/10.3389/fgene.2022.1090394

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