Immune gene prognostic signature for disease free survival of gastric cancer: Translational research of an artificial intelligence survival predictive system

The progress of artificial intelligence algorithms and massive data provide new ideas and choices for individual mortality risk prediction for cancer patients. The current research focused on depict immune gene related regulatory network and develop an artificial intelligence survival predictive sys...

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Detalles Bibliográficos
Autores principales: Zhang, Zhiqiao, He, Tingshan, Huang, Liwen, Li, Jing, Wang, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111455/
https://www.ncbi.nlm.nih.gov/pubmed/34025929
http://dx.doi.org/10.1016/j.csbj.2021.04.025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111455/
https://www.ncbi.nlm.nih.gov/pubmed/34025929
http://dx.doi.org/10.1016/j.csbj.2021.04.025

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