Enhancing survival risk prediction through imputation and feature selection in high-dimensional protein biomarker data
Abstract Protein-based molecular biomarkers play an important role in prognostic modeling and risk stratification in precision medicine. However, longitudinal survival studies involving high-dimensional biomarker data are frequently challenged by pervasive missingness and limited sample sizes, which...
Tallennettuna:
| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Nature Portfolio
2026-03-01
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| Sarja: | Scientific Reports |
| Aiheet: | |
| Linkit: | https://doi.org/10.1038/s41598-026-43072-z |
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