Coxmos: interpretable survival models for high-dimensional and multi-omic data
Abstract Background Survival analysis in high-dimensional (HD) and multi-block (MB) settings, such as omic and multi-omic studies, poses major methodological challenges due to multicollinearity, low events-per-variable ratios, and limited model interpretability. While Cox Proportional Hazards models...
-д хадгалсан:
| Үндсэн зохиолчид: | , , |
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| Формат: | Artigo |
| Хэл сонгох: | Inglês |
| Хэвлэсэн: |
BMC
2026-05-01
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| Цуврал: | BioData Mining |
| Нөхцлүүд: | |
| Онлайн хандалт: | https://doi.org/10.1186/s13040-026-00559-9 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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