An integrated machine learning framework for developing and validating a prognostic risk model of gastric cancer based on endoplasmic reticulum stress-associated genes
A new molecular prognostic model associated with ERS was established and validated for GC and showed relatively good discriminative and predictive ability. This model greatly expands the collection of weapons in the armoury of prognostic analysis in GC.
Authors
- Gang Wei (ORCID: https://orcid.org/0000-0001-5839-1276)
- Lei Liu (ORCID: https://orcid.org/0000-0003-4976-9382)
- Ru Liu (ORCID: https://orcid.org/0000-0003-3793-0386)
- Yan Wang (ORCID: https://orcid.org/0000-0001-6111-5379)
Institutions
- People 's Liberation Army 451 Hospital (CN)
- Xi'an Medical University (CN)
- Xijing Hospital (CN)
Publication Details
- Journal
- Biochemistry and Biophysics Reports
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1016/j.bbrep.2024.101891
- Citations
- 2
- Primary Topic
- Endoplasmic Reticulum Stress and Disease
- Type
- article
- Field-Weighted Citation Impact
- 0.65