A molecular classification of gastric cancer associated with distinct clinical outcomes and validated by an XGBoost-based prediction model

Gastric cancer (GC) is a heterogeneous disease and a leading cause of cancer-related deaths. Discovering robust, clinically relevant molecular classifications is critical for guiding personalized therapies for GC. Here, we propose a refined molecular classification scheme for GC using integrated opt...

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Detalles Bibliográficos
Autores principales: Li, Bing, Zhang, Fengbin, Niu, Qikai, Liu, Jun, Yu, Yanan, Wang, Pengqian, Zhang, Siqi, Zhang, Huamin, Wang, Zhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Gene & Cell Therapy 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843270/
https://www.ncbi.nlm.nih.gov/pubmed/36700042
http://dx.doi.org/10.1016/j.omtn.2022.12.014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843270/
https://www.ncbi.nlm.nih.gov/pubmed/36700042
http://dx.doi.org/10.1016/j.omtn.2022.12.014

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