Prognostic biomarker discovery in pancreatic cancer through hybrid ensemble feature selection and multi-omics data
Abstract Background Accurate prediction of patient survival using high-dimensional multi-omics data requires effective feature selection methods that balance predictive performance, sparsity, and stability to enable reproducible and transparent prognostic biomarker discovery. Existing approaches oft...
Na minha lista:
| Principais autores: | , , , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2026-04-01
|
| coleção: | BioData Mining |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s13040-026-00546-0 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|