Survival prediction and molecular subtyping of squamous cell lung cancer based on network embedding
Dingjie Guo, Jing Chen, Yixian Wang, Xin Liu · 2024
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Description
Dingjie Guo, Jing Chen, and their co-authors built prediction models for squamous cell lung cancer using a network based view of patients. Their 2024 study notes that this cancer is deadly and varies widely in its genetics and form. The team merged clinical records, gene activity, and mutation data into new patient features with a multi source integration method.
Two models then predicted survival from those features. A random survival forest did moderately well, while a kernel based model scored far higher, with accuracy near 0.95 for one, five, and ten year survival. A clustering step split patients into three molecular subtypes with clearly different survival. The subtypes could help match patients to closer monitoring or different treatments.
Catalog record
| CREATOR | Dingjie Guo, Jing Chen, Yixian Wang, Xin Liu |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 40 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |