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

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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Bibliographic Details
Main Authors: Bing Li, Fengbin Zhang, Qikai Niu, Jun Liu, Yanan Yu, Pengqian Wang, Siqi Zhang, Huamin Zhang, Zhong Wang
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Molecular Therapy: Nucleic Acids
Subjects:
MT: Bioinformatics
gastric cancer
molecular classification
precision oncology
prognostic marker
prediction model
Online Access:http://www.sciencedirect.com/science/article/pii/S2162253122003353

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http://www.sciencedirect.com/science/article/pii/S2162253122003353

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